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Texas A&M University
1.
Hur, Doe Young.
Design Optimization of Folding Solar Powered Autonomous Underwater Vehicles Using Origami Structure.
Degree: MS, Mechanical Engineering, 2017, Texas A&M University
URL: http://hdl.handle.net/1969.1/165844
► Origami, as an application for morphing structure engineering, which has been studied for a long time, has recently made remarkable progress in terms of technology.…
(more)
▼ Origami, as an application for morphing structure engineering, which has been studied for a long time, has recently made remarkable progress in terms of technology. The most distinctive feature of this technology is the presence of two types, flat mode and folded mode. The origami algorithm enables the conversion of these two modes based on the mathematical formulations. Completion of this algorithm now means that origami is part of the
design process and can be applied to applications.
This thesis demonstrates a
design process for origami-inspired morphing structures that transform between a flat configuration and a folded convex shape. There are many obstacles in the development of the
design process. In particular, consideration should be given to the surface difference of the flat configuration and the folded convex mode. In this thesis, I introduce the
design process which takes into consideration the origami structure
design deeply.
To demonstrate this process, I have selected an application which is emerging and interesting, that is, unmanned vehicles. Especially, the
design of Autonomous Underwater Vehicles (AUVs) is a difficult challenge since it requires the consideration of various aspects such as mission range, controllability, energy source, and carrying capacity. The Predictive Parameterized Pareto Genetic Algorithm (P3GA) is selected as the
optimization method to determine a parameterized Pareto frontier of
design options with desired characteristics for a variety of missions for the AUV.
Advisors/Committee Members: Malak, Richard J (advisor), Hartl, Darren J (committee member), Allaire, Douglas (committee member).
Subjects/Keywords: Design Optimization; Origami
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APA (6th Edition):
Hur, D. Y. (2017). Design Optimization of Folding Solar Powered Autonomous Underwater Vehicles Using Origami Structure. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165844
Chicago Manual of Style (16th Edition):
Hur, Doe Young. “Design Optimization of Folding Solar Powered Autonomous Underwater Vehicles Using Origami Structure.” 2017. Masters Thesis, Texas A&M University. Accessed March 08, 2021.
http://hdl.handle.net/1969.1/165844.
MLA Handbook (7th Edition):
Hur, Doe Young. “Design Optimization of Folding Solar Powered Autonomous Underwater Vehicles Using Origami Structure.” 2017. Web. 08 Mar 2021.
Vancouver:
Hur DY. Design Optimization of Folding Solar Powered Autonomous Underwater Vehicles Using Origami Structure. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1969.1/165844.
Council of Science Editors:
Hur DY. Design Optimization of Folding Solar Powered Autonomous Underwater Vehicles Using Origami Structure. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165844

University of Maryland
2.
Middha, Parteek.
Seismic Design Optimization of Steel Structures Using Particle Swarm Algorithm.
Degree: Civil Engineering, 2017, University of Maryland
URL: http://hdl.handle.net/1903/20454
► Earthquakes are one of the most devastating and expensive natural disasters in the world. Economical and earthquake-resistant design remains a challenge for structural engineers. This…
(more)
▼ Earthquakes are one of the most devastating and expensive natural disasters in the world. Economical and earthquake-resistant
design remains a challenge for structural engineers. This study explores the optimal
design of a seismic force resisting steel frame using a population based stochastic algorithm known as Particle Swarm
Optimization (PSO). PSO is able to efficiently explore a complex solution space with many
design variables and constraints. PSO is also problem independent and can be built around any approach to earthquake
design. As a case study, the seismic
design of a three-story moment resisting frame is optimized for the linear static, linear dynamic, and nonlinear static analysis methods. An interface was created between MATLAB and OpenSees to link
optimization with a well-known and freely available earthquake engineering software. This application is extended to the performance-based
design of structures, in which the optimal
design meets the target performance objectives of Immediate Occupancy, Life Safety, and Collapse Prevention under Frequent,
Design, and Maximum-considered seismic hazard levels.
Advisors/Committee Members: Phillips, Brian M (advisor).
Subjects/Keywords: Civil engineering; Metaheuristic Optimization; OpenSees-MATLAB; Particle Swarm Optimization; Performance-Based Design Optimization; Seismic Design Optimization; Structural Design Optimization
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APA ·
Chicago ·
MLA ·
Vancouver ·
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APA (6th Edition):
Middha, P. (2017). Seismic Design Optimization of Steel Structures Using Particle Swarm Algorithm. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/20454
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Middha, Parteek. “Seismic Design Optimization of Steel Structures Using Particle Swarm Algorithm.” 2017. Thesis, University of Maryland. Accessed March 08, 2021.
http://hdl.handle.net/1903/20454.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Middha, Parteek. “Seismic Design Optimization of Steel Structures Using Particle Swarm Algorithm.” 2017. Web. 08 Mar 2021.
Vancouver:
Middha P. Seismic Design Optimization of Steel Structures Using Particle Swarm Algorithm. [Internet] [Thesis]. University of Maryland; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1903/20454.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Middha P. Seismic Design Optimization of Steel Structures Using Particle Swarm Algorithm. [Thesis]. University of Maryland; 2017. Available from: http://hdl.handle.net/1903/20454
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech
3.
Liu, Qiang.
EBF3GLWingOpt: A Framework for Multidisciplinary Design Optimization of Wings Using SpaRibs.
Degree: PhD, Engineering Mechanics, 2014, Virginia Tech
URL: http://hdl.handle.net/10919/49665
► A global/local framework for multidisciplinary optimization of generalized aircraft wing structure has been developed. The concept of curvilinear stiffening members (spars, ribs and stiffeners) has…
(more)
▼ A global/local framework for multidisciplinary
optimization of generalized aircraft wing structure has been developed. The concept of curvilinear stiffening members (spars, ribs and stiffeners) has been applied in the
optimization of a wing structure. A global wing
optimization framework EBF3WingOpt, which integrates the static aeroelastic, flutter and buckling analysis, has been implemented for exploiting the optimal
design at the wing level. The wing internal structure is optimized using curvilinear spars and ribs (SpaRibs). A two-step
optimization approach, which consists of topology
optimization with shape
design variables and size
optimization with thickness
design variables, is implemented in EBF3WingOpt. A local panel
optimization EBF3PanelOpt, which includes stress and buckling evaluation criteria, is performed to optimize the local panels bordered by spars and ribs for further structural weight saving. The local panel model is extracted from the global finite element model. The boundary conditions are defined on the edges of local panels using the displacement fields obtained from the global model analysis. The local panels are optimized to satisfy stress and buckling constraints. Stiffened panel with curvilinear stiffeners is implemented in EBF3PanelOpt to improve the buckling resistance of the local panels. The
optimization of stiffened panels has been studied and integrated in the local panel
optimization. EBF3WingOpt has been applied for the
optimization of the wing structure of the Boeing N+2 supersonic transport wing and NASA common research model (CRM). The
optimization results have shown the advantage of curvilinear spars and ribs concept. The local panel
optimization EBF3PanelOpt is performed for the NASA CRM wing. The global-local
optimization framework EBF3GLWingOpt, which incorporates global wing
optimization module EBF3WingOpt and local panel
optimization module EBF3PanelOpt, is developed using MATLAB and Python programming to integrate several commercial software: MSC.PATRAN for pre and post processing, MSC.NASTRAN for finite element analysis. An approximate
optimization method is developed for the stiffened panel
optimization so as to reduce the computational cost. The integrated global-local
optimization approach has been applied to subsonic NASA common research model (CRM) wing which proves the methodology's application scaling with medium fidelity FEM analysis. Both the global wing
design variables and local panel
design variables are optimized to minimize the wing weight at an acceptable computational cost.
Advisors/Committee Members: Kapania, Rakesh K. (committeechair), Hajj, Muhammad R. (committee member), Cramer, Mark S. (committee member), Case, Scott W. (committee member), Patil, Mayuresh J. (committee member).
Subjects/Keywords: Structural Optimization; Global-local Optimization; Wing Optimization; Multidisciplinary Design Optimization; SpaRibs; Stiffened Panel Optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Liu, Q. (2014). EBF3GLWingOpt: A Framework for Multidisciplinary Design Optimization of Wings Using SpaRibs. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49665
Chicago Manual of Style (16th Edition):
Liu, Qiang. “EBF3GLWingOpt: A Framework for Multidisciplinary Design Optimization of Wings Using SpaRibs.” 2014. Doctoral Dissertation, Virginia Tech. Accessed March 08, 2021.
http://hdl.handle.net/10919/49665.
MLA Handbook (7th Edition):
Liu, Qiang. “EBF3GLWingOpt: A Framework for Multidisciplinary Design Optimization of Wings Using SpaRibs.” 2014. Web. 08 Mar 2021.
Vancouver:
Liu Q. EBF3GLWingOpt: A Framework for Multidisciplinary Design Optimization of Wings Using SpaRibs. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10919/49665.
Council of Science Editors:
Liu Q. EBF3GLWingOpt: A Framework for Multidisciplinary Design Optimization of Wings Using SpaRibs. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/49665
4.
[No author].
Multidisciplinary Analysis of Closed, Nonplanar Wing
Configurations for Transport Aircraft.
Degree: PhD, Mechanical Engineering/G??nie m??canique, 2016, Royal Military College of Canada
URL: http://hdl.handle.net/11264/981
► A multidisciplinary study of an unconventional aircraft configuration was undertaken to determine if such a design could decrease the environmental impact of civil air transportation…
(more)
▼ A multidisciplinary study of an unconventional
aircraft configuration was undertaken to determine if such a design
could decrease the environmental impact of civil air transportation
through fuel burn improvements for given missions. The specific
configuration examined was a box-wing. This is a nonplanar wing
design where two parallel wings with some degree of streamwise
separation were connected at their tips by a vertical wing segment.
The box-wing design differs from a conventional aircraft in three
key areas: it has the lowest induced drag of any wing design with
the same projected area; it can achieve longitudinal stability
without a horizontal tail; and the wings form a statically
indeterminate truss structure. These three characteristics lead to
improved performance in the respective disciplines of aerodynamics,
stability and structures. For this reason, the box-wing has been
investigated as a possible transport aircraft in several previous
studies, each focusing on these disciplines independently.
Trends which improved the performance in one discipline, however,
could decrease the performance of the others. A multidisciplinary
analysis was required to resolve these interactions and understand
the trends which led to reduced fuel consumption for a box-wing
design. Novel models for predicting the aerodynamic performance,
static longitudinal stability and structural weight of a box-wing
aircraft were developed for such an analysis. Optimal box-wing
designs were identified, which were compatible with existing
transport aircraft certification requirements and operational
guidelines. These designs were compared against optimized
conventional aircraft to determine what advantage the box-wing
configuration possessed.
These findings showed both the
interactions between the three key disciplines of aerodynamics,
stability and structures, as well as the effect which certification
and operational constraints had on the design. Unconventional
designs are critical to achieve the fuel burn reductions sought in
the next generation of aircraft. The rigorous comparison made
between box-wing and conventional configurations showed whether
such a designs should be pursued in the development of future
transport aircraft. Understanding how the constraints and design
choices affect a box-wing's performance helped identify alternate
missions which best take advantage of this unconventional
design.
Une ??tude multidisciplinaire d???une configuration
d???aile d???a??ronef non- conventionnelle fut entreprise afin de
d??terminer s???il ??tait possible de r??duire la consommation de
carburant requise pour entreprendre certains profils de vols. La
configuration d???ailes s??lectionn??e pour ce projet ??tait celle
d???ailes en anneau, une configuration similaire ?? celle d???un
avion biplan o?? les extr??mit??s d???ailes horizontales sont
rejointes par des segments d???ailes verticaux. Ce type de
configuration se d??marque des ailes conventionnelles par les trois
principes suivants: la tra??n??e par unit?? de surface induite est…
Advisors/Committee Members: Royal Military College of Canada / Coll??ge militaire royal du Canada, Perez, Ruben E..
Subjects/Keywords: Aircraft design; Optimization; Nonplanar wings
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
author], [. (2016). Multidisciplinary Analysis of Closed, Nonplanar Wing
Configurations for Transport Aircraft. (Doctoral Dissertation). Royal Military College of Canada. Retrieved from http://hdl.handle.net/11264/981
Chicago Manual of Style (16th Edition):
author], [No. “Multidisciplinary Analysis of Closed, Nonplanar Wing
Configurations for Transport Aircraft.” 2016. Doctoral Dissertation, Royal Military College of Canada. Accessed March 08, 2021.
http://hdl.handle.net/11264/981.
MLA Handbook (7th Edition):
author], [No. “Multidisciplinary Analysis of Closed, Nonplanar Wing
Configurations for Transport Aircraft.” 2016. Web. 08 Mar 2021.
Vancouver:
author] [. Multidisciplinary Analysis of Closed, Nonplanar Wing
Configurations for Transport Aircraft. [Internet] [Doctoral dissertation]. Royal Military College of Canada; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/11264/981.
Council of Science Editors:
author] [. Multidisciplinary Analysis of Closed, Nonplanar Wing
Configurations for Transport Aircraft. [Doctoral Dissertation]. Royal Military College of Canada; 2016. Available from: http://hdl.handle.net/11264/981

University of Alberta
5.
Liu, Chang.
Optimization of Temporary Haul Road Design and Earthmoving
Job Planning based on Site Rough-grading Design.
Degree: MS, Department of Civil and Environmental
Engineering, 2014, University of Alberta
URL: https://era.library.ualberta.ca/files/1j92g838b
► Site rough-grading operations are the preliminary work of the construction projects in remote areas especially in Northern Alberta. Haulage cost typically accounts for around 30%…
(more)
▼ Site rough-grading operations are the preliminary work
of the construction projects in remote areas especially in Northern
Alberta. Haulage cost typically accounts for around 30% of the
total cost of mass earthmoving projects. The temporary haul road
network built in the earthmoving field is one major factor
influencing haulage cost and production efficiency, which remains
an empirical design problem at present. In order to convert it into
an analytical problem, this study firstly utilizes the
Floyd-Warshall algorithm and linear programming model to formulate
the earthmoving planning based on a certain layout of temporary
road network, shedding light on the potential benefits of selecting
routes and directions for handling earthmoving jobs. On the basis
of the optimization of earthmoving job planning, the optimization
of layout of temporary road network is further proposed by using
multi-generation compete genetic algorithm. The optimization
approaches are explained in details through a practical
application. Based on analytical analysis and numerical
applications, it is proved that the optimization approach can
reduce the total cost of the project and shortens its duration. In
addition, simulation models are used to prove the effectiveness and
feasibility of optimization results. The study conducts
comprehensive and in-depth analyses to tackle the temporary haul
road network design problem in the context of earthworks planning,
which can provide decision support in planning and executing
massive earthworks.
Subjects/Keywords: Haul Road Design; Earthmoving; Optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Liu, C. (2014). Optimization of Temporary Haul Road Design and Earthmoving
Job Planning based on Site Rough-grading Design. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/1j92g838b
Chicago Manual of Style (16th Edition):
Liu, Chang. “Optimization of Temporary Haul Road Design and Earthmoving
Job Planning based on Site Rough-grading Design.” 2014. Masters Thesis, University of Alberta. Accessed March 08, 2021.
https://era.library.ualberta.ca/files/1j92g838b.
MLA Handbook (7th Edition):
Liu, Chang. “Optimization of Temporary Haul Road Design and Earthmoving
Job Planning based on Site Rough-grading Design.” 2014. Web. 08 Mar 2021.
Vancouver:
Liu C. Optimization of Temporary Haul Road Design and Earthmoving
Job Planning based on Site Rough-grading Design. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2021 Mar 08].
Available from: https://era.library.ualberta.ca/files/1j92g838b.
Council of Science Editors:
Liu C. Optimization of Temporary Haul Road Design and Earthmoving
Job Planning based on Site Rough-grading Design. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/1j92g838b

Queens University
6.
Bakker, Jeremy.
Pack Level Design Optimization for Electric Vehicle Thermal Management Systems Minimizing Standard Deviation of Temperature Distribution
.
Degree: Mechanical and Materials Engineering, 2013, Queens University
URL: http://hdl.handle.net/1974/8443
► Green technologies have recently gained interest for many reasons. Economic factors in conjunction with an increased social desire to reduce our environmental impact on the…
(more)
▼ Green technologies have recently gained interest for many reasons. Economic factors in conjunction with an increased social desire to reduce our environmental impact on the Earth have created a desire for more environmentally friendly technologies, especially automotive technologies such as the electric car. While public interest in electric vehicles is growing, there are a number of challenges which must first be addressed before their widespread adoption is possible. Cost, longevity, and range are all important factors which need to be addressed for electric vehicles to compete directly with their gasoline counterparts. By more efficiently using the energy stored within the battery pack, some of these issues can be addressed.
This study focuses on the thermal management systems for electric vehicles and the application of design optimization in the early design phase considering the pack in its entirety. A liquid cooling system is considered for a current generation electric vehicle, with time dependent heat generation rates within the battery cells based on vehicle operating conditions. Identifying the most efficient distribution of cooling within the battery pack to achieve uniform temperature is the objective of optimization.
Simulations were performed on a complete battery pack model, featuring 288 battery cells and 144 cooling plates. Anisotropic material properties and non-uniform heat generation rates are included as well as energy demands based on a representative vehicle drive cycle. Results have shown that through design optimization, the standard deviation of temperature within the battery cells can be improved by as much as 80% when compared to a conventional design. The standard deviation of temperature saw improvement from an average of 0.2828 K for a conventional design to 0.05318 K after optimization.
These results are specific to the given battery pack construction, battery cell, and cooling type. The method of modeling and analysis can be extended to many battery geometries and cooling technologies in the future. Application of design optimization to the problem of thermal
iii
management system design can yield significant improvements to battery pack thermal management, and thereby incrementally improve the efficiency of electrified vehicles.
Subjects/Keywords: Electric Vehicle Batteries
;
Design Optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Bakker, J. (2013). Pack Level Design Optimization for Electric Vehicle Thermal Management Systems Minimizing Standard Deviation of Temperature Distribution
. (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/8443
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Bakker, Jeremy. “Pack Level Design Optimization for Electric Vehicle Thermal Management Systems Minimizing Standard Deviation of Temperature Distribution
.” 2013. Thesis, Queens University. Accessed March 08, 2021.
http://hdl.handle.net/1974/8443.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Bakker, Jeremy. “Pack Level Design Optimization for Electric Vehicle Thermal Management Systems Minimizing Standard Deviation of Temperature Distribution
.” 2013. Web. 08 Mar 2021.
Vancouver:
Bakker J. Pack Level Design Optimization for Electric Vehicle Thermal Management Systems Minimizing Standard Deviation of Temperature Distribution
. [Internet] [Thesis]. Queens University; 2013. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1974/8443.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Bakker J. Pack Level Design Optimization for Electric Vehicle Thermal Management Systems Minimizing Standard Deviation of Temperature Distribution
. [Thesis]. Queens University; 2013. Available from: http://hdl.handle.net/1974/8443
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Ontario Institute of Technology
7.
Cook, Adam George Mount.
Front underride protection devices: design methodology for heavy vehicle crashworthiness.
Degree: 2016, University of Ontario Institute of Technology
URL: http://hdl.handle.net/10155/644
► North American Heavy Vehicles contribute to a third of all road fatalities in Canada. Head on collisions are one of the most severe, as the…
(more)
▼ North American Heavy Vehicles contribute to a third of all road fatalities in Canada. Head on collisions are one of the most severe, as the mismatch of vehicle weight and sizing intensifies when a passenger vehicle is impacted. To improve crash safety, Front Underride Protection Devices (FUPDs) are a proposed solution to establishing a compatible collision between a passenger vehicle and a heavy vehicle. The European Union is among numerous administrations to regulate FUPDs, yet FUPDs are nonexistent in North America. Current regulations conform to European Cab-over Engine Tractors designs. Implementation of current regulations in North American conflicts with the widely driven Conventional Style Tractor due to the different
design space for a FUPDs. This study builds on developing regulations for North America, and establishes a
design methodology to developing and optimizing FUPDs for the Conventional Style Tractor enlightening the crashworthy importance of front underride protection devices to improving road safety. Advanced two stage
optimization methodology was outlined to ensure industry targets are embedded with in the
design to develop lightweight and cost effective devices. Recommendations for the modifications of the ECE R93 for Conventional Style Tractor are outlined; P1 load magnitudes requirements for FUPD stiffness should be increased from the regulated 80 kN to 160 kN to improve small overlap collisions. Regulated geometric parameters were recommended to have a minimal frontal contact height of 240mm, with ground clearance set between 350mm to 400mm. Geometric configurations were outlined and restricted to conform to the aerodynamic curvatures of the tractors bumper. After validation of the
National Crash Analysis Center (NCAC) Toyota Yaris finite element analysis (FEA) model for side impact, the addition of a FUPD enhanced the survivability of passenger vehicle. The work achieved in enhancing the
design methodology for industrial implementation and outlining regulations for North America.
Advisors/Committee Members: El-Gindy, Moustafa.
Subjects/Keywords: Crashworthiness; FEA; Design; Structural; Optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Cook, A. G. M. (2016). Front underride protection devices: design methodology for heavy vehicle crashworthiness. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/644
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Cook, Adam George Mount. “Front underride protection devices: design methodology for heavy vehicle crashworthiness.” 2016. Thesis, University of Ontario Institute of Technology. Accessed March 08, 2021.
http://hdl.handle.net/10155/644.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Cook, Adam George Mount. “Front underride protection devices: design methodology for heavy vehicle crashworthiness.” 2016. Web. 08 Mar 2021.
Vancouver:
Cook AGM. Front underride protection devices: design methodology for heavy vehicle crashworthiness. [Internet] [Thesis]. University of Ontario Institute of Technology; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10155/644.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Cook AGM. Front underride protection devices: design methodology for heavy vehicle crashworthiness. [Thesis]. University of Ontario Institute of Technology; 2016. Available from: http://hdl.handle.net/10155/644
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Ottawa
8.
Al-Delaimi, Yassin.
Probabilistic Approach for Design Optimization of Prestressed Girder Bridges Using Multi-Purpose Computer-Aided Model
.
Degree: 2017, University of Ottawa
URL: http://hdl.handle.net/10393/35841
► Prestressed girder bridges are a very common type of bridges constructed all over the world. The girder bridges are ideal as short to medium spans…
(more)
▼ Prestressed girder bridges are a very common type of bridges constructed all over the world. The girder bridges are ideal as short to medium spans (15 m to 60 m) structures, due to their moderate self-weight, structural efficiency, ease of fabrication, fast construction, low initial cost, long life expectancy, low maintenance, simple deck removal, and replacement process. Thus, the vast applicability of prestressed girder bridges provides the motivation to develop optimization methodologies, techniques, and models to optimize the design of these widely-used types of bridges, in order to achieve cost-effective design solutions.
Most real-world structural engineering problems involve several elements of uncertainty (e.g. uncertainty in loading conditions, in material characteristics, in analysis/simulation model accuracy, in geometric properties, in manufacturing precision, etc). Such uncertainties need to be taken into consideration in the design process in order to achieve uniform levels of safety and consistent reliability in the structural systems. Consideration of uncertainties and variation of design parameters is made through probabilistic calibration of the design codes and specifications. For all current bridge design codes (e.g. AASHTO LRFD, CHBDC, or European code) no calibration is yet made to the Serviceability Limit State or Fatigue Limit State. Eventually, to date only Strength I limit state has been formally calibrated with reliability basis.
Optimum designs developed without consideration of uncertainty associated with the design parameters can lead to non-robust designs, ones for which even slight changes in design variables and uncertain parameters can result in substantial performance degradation and localized damages. The accumulated damage may result in serviceability limitations or even collapse, although the structural design meets all code requirements for ultimate flexural and shear capacity.
In order to search for the best optimization solution between cost reduction and satisfactory safety levels, probabilistic approaches of design optimization were applied to control the structural uncertainties throughout the design process, which cannot be achieved by deterministic optimization. To perform probabilistic design optimization, the basic design parameters were treated as random variables. For each random variable, the statistical distribution type was properly defined and the statistical parameters were accurately derived. After characterizing the random variables, in the current research, all the limit state functions were formulated and a comprehensive reliability analysis has been conducted to evaluate the bridge’s safely level (reliability index) with respect to every design limit state. For that purpose, a computer-aided model has been developed using Visual Basic Application (VBA). The probabilities of failure and corresponding reliability indexes determined by using the newly developed model, with respect to limit state functions considered, were obtained by the First-Order…
Subjects/Keywords: Bridges;
Optimization;
Reliability;
Design
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Al-Delaimi, Y. (2017). Probabilistic Approach for Design Optimization of Prestressed Girder Bridges Using Multi-Purpose Computer-Aided Model
. (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/35841
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Al-Delaimi, Yassin. “Probabilistic Approach for Design Optimization of Prestressed Girder Bridges Using Multi-Purpose Computer-Aided Model
.” 2017. Thesis, University of Ottawa. Accessed March 08, 2021.
http://hdl.handle.net/10393/35841.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Al-Delaimi, Yassin. “Probabilistic Approach for Design Optimization of Prestressed Girder Bridges Using Multi-Purpose Computer-Aided Model
.” 2017. Web. 08 Mar 2021.
Vancouver:
Al-Delaimi Y. Probabilistic Approach for Design Optimization of Prestressed Girder Bridges Using Multi-Purpose Computer-Aided Model
. [Internet] [Thesis]. University of Ottawa; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10393/35841.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Al-Delaimi Y. Probabilistic Approach for Design Optimization of Prestressed Girder Bridges Using Multi-Purpose Computer-Aided Model
. [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/35841
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Chicago
9.
Moon, Jeonghwa.
Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization.
Degree: 2017, University of Illinois – Chicago
URL: http://hdl.handle.net/10027/22195
► Uncertainty is a fundamental factor we should consider in process design because it is inherent characteristics of any process systems. For instance, physical properties of…
(more)
▼ Uncertainty is a fundamental factor we should consider in process
design because it is inherent characteristics of any process systems. For instance, physical properties of reactants, kinetics, or value of transfer coefficient are uncertain in the
design stage. Also we expect disturbances – changes of flowrate, compositions, pressure, and temperature- during the operation. However, classical process
design uses only nominal information of physical properties, transport phenomena, and reactions to find
design variables in order to optimize process performance. In reality, the classical
design procedure is not suitable because these parameters are not exactly known but have unavoidable variations, leading to uncertainty in the system. In addition, in practical operation the processes are exposed to changing conditions called dynamic disturbance, such us cooling water temperature or raw material quality that are dynamically changing. In order to accommodate uncertainties and dynamic disturbance in classic
design, the process is usually oversized to minimize risk of operating outside specifications. However, this arbitrary overdesign does not guarantee feasibility and optimality of the process. Thus it is clear that consideration of uncertainty is necessary and important for the optimality and feasibility of operation of the chemical plant.
The first aim of this thesis is to develop novel methodologies to tackle problems of classical approach for
design under uncertainty. Two main topics in
design under uncertainty –flexibility analysis and integrations of
design and control dealt with this thesis.
Part A addresses flexibility analysis of process. A new hybrid algorithm for flexibility analysis problem is suggested. Flexibility analysis is to quantify flexibility of a given process
design to handle uncertainty in process parameters as well as variations in operating conditions. It is one of important problem in “
design under uncertainty”. It is formulated as a multistage global
optimization problem, whose search space is discontinuous and non-differentiable. Traditional local deterministic approaches cannot solve this problem properly, so I used a new approach based stochastic method and project technique to tackle this problem. This approach can be easily parallelized, so it reduces computational time when we solve large size problems.
In part B, the problem of integrating
design and control is addressed. Integration of
design and control is finding an optimal
design considering dynamic controllability. It aims at pursuing the synergetic power of a simultaneous approach to guarantee the economical and robust operation of the process in spite of any disturbance and uncertainty. However integration of
design and control renders a complex combinatorial
optimization problem which cannot be solved directly with existing mathematical methods. Thus we suggested a decomposition technique which eases the problems of this integration called embedded control
optimization. In this thesis, I will extend embedded control…
Advisors/Committee Members: Linninger, Andreas (advisor), Chmielewski, Donald (committee member), Diwekar, Urmila (committee member), Regalbuto, John (committee member), Teymour, Fouad (committee member), Wedgewood, Lewis (committee member), Linninger, Andreas (chair).
Subjects/Keywords: design under uncertainty; global optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Moon, J. (2017). Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22195
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Moon, Jeonghwa. “Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization.” 2017. Thesis, University of Illinois – Chicago. Accessed March 08, 2021.
http://hdl.handle.net/10027/22195.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Moon, Jeonghwa. “Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization.” 2017. Web. 08 Mar 2021.
Vancouver:
Moon J. Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10027/22195.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Moon J. Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22195
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Linköping University
10.
Nezhadali, Vaheed.
Multi-objective optimization of Industrial robots.
Degree: Machine Design, 2011, Linköping University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113283
► Industrial robots are the most widely manufactured and utilized type of robots in industries. Improving the design process of industrial robots would lead to…
(more)
▼ Industrial robots are the most widely manufactured and utilized type of robots in industries. Improving the design process of industrial robots would lead to further developments in robotics industries. Consequently, other dependant industries would be benefited. Therefore, there is an effort to make the design process more and more efficient and reliable. The design of industrial robots requires studies in various fields. Engineering softwares are the tools which facilitate and accelerate the robot design processes such as dynamic simulation, structural analysis, optimization, control and so forth. Therefore, designing a framework to automate the robot design process such that different tools interact automatically would be beneficial. In this thesis, the goal is to investigate the feasibility of integrating tools from different domains such as geometry modeling, dynamic simulation, finite element analysis and optimization in order to obtain an industrial robot design and optimization framework. Meanwhile, Meta modeling is used to replace the time consuming design steps. In the optimization step, various optimization algorithms are compared based on their performance and the best suited algorithm is selected. As a result, it is shown that the objectives are achievable in a sense that finite element analysis can be efficiently integrated with the other tools and the results can be optimized during the design process. A holistic framework which can be used for design of robots with several degrees of freedom is introduced at the end.
Subjects/Keywords: CAD modeling; optimization; design framework
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Nezhadali, V. (2011). Multi-objective optimization of Industrial robots. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113283
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Nezhadali, Vaheed. “Multi-objective optimization of Industrial robots.” 2011. Thesis, Linköping University. Accessed March 08, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113283.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Nezhadali, Vaheed. “Multi-objective optimization of Industrial robots.” 2011. Web. 08 Mar 2021.
Vancouver:
Nezhadali V. Multi-objective optimization of Industrial robots. [Internet] [Thesis]. Linköping University; 2011. [cited 2021 Mar 08].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113283.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Nezhadali V. Multi-objective optimization of Industrial robots. [Thesis]. Linköping University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113283
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology
11.
Luesutthiviboon, Salil (author).
Design of an Optimized Acoustic Array for Aero-acoustic Research in an Open-jet Anechoic Wind Tunnel.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:6b16e0f9-b038-4d53-bc3c-b07d7fbfe957
► This work aims to determine the optimal microphone placement on an acoustic array of TU Delft’s ‘V-tunnel’ which is used for beamforming in aero-acoustic studies.…
(more)
▼ This work aims to determine the optimal microphone placement on an acoustic array of TU Delft’s ‘V-tunnel’ which is used for beamforming in aero-acoustic studies. The beamforming performance is driven by two parameters; the Maximum Side lobe Level (MSL) and the Main Lobe Width (MLW). The array
design should give a good trade-off between these parameters. The proposed
optimization method has two
optimization loops. First, the main loop consists of
design variables used to collectively describe the distribution of microphones. Then the nested loop generates arrays which satisfy the geometry descriptions from the main loop. Finally, the main loop searches for the optimal
design variables. The optimized array is able to achieve the MSL below -15 dB up to the distance approximately four times the MLW around the main lobe. Experimental validation was also carried out to compare the optimized array’s performance with a benchmark array and an array from the beginning of the
optimization.
Advisors/Committee Members: Snellen, Mirjam (mentor), Sijtsma, Pieter (mentor), Malgoezar, Anwar (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Acoustic array; Optimization; Design
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Luesutthiviboon, S. (. (2017). Design of an Optimized Acoustic Array for Aero-acoustic Research in an Open-jet Anechoic Wind Tunnel. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6b16e0f9-b038-4d53-bc3c-b07d7fbfe957
Chicago Manual of Style (16th Edition):
Luesutthiviboon, Salil (author). “Design of an Optimized Acoustic Array for Aero-acoustic Research in an Open-jet Anechoic Wind Tunnel.” 2017. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:6b16e0f9-b038-4d53-bc3c-b07d7fbfe957.
MLA Handbook (7th Edition):
Luesutthiviboon, Salil (author). “Design of an Optimized Acoustic Array for Aero-acoustic Research in an Open-jet Anechoic Wind Tunnel.” 2017. Web. 08 Mar 2021.
Vancouver:
Luesutthiviboon S(. Design of an Optimized Acoustic Array for Aero-acoustic Research in an Open-jet Anechoic Wind Tunnel. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:6b16e0f9-b038-4d53-bc3c-b07d7fbfe957.
Council of Science Editors:
Luesutthiviboon S(. Design of an Optimized Acoustic Array for Aero-acoustic Research in an Open-jet Anechoic Wind Tunnel. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:6b16e0f9-b038-4d53-bc3c-b07d7fbfe957

Delft University of Technology
12.
Beijer, Bastiaan (author).
Implementation of a collaborative environment to support the integration of 3rd generation MDO frameworks.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:be77349c-e150-4f72-b71f-737b7a174867
► Multidisciplinary Design Optimization (MDO) frameworks, capable of performing overall aircraft design studies become too complex to be comprehended by a single team of experts. Therefore,…
(more)
▼ Multidisciplinary Design Optimization (MDO) frameworks, capable of performing overall aircraft design studies become too complex to be comprehended by a single team of experts. Therefore, there is an increasing need to develop distributed analysis frameworks in which both tools and experts are integrated in a single network. This poses great challenges on the ability to control and collaborate on these so-called 3rd generation MDO frameworks. During this research a collaborative environment is developed and implemented to provide a steering function during the setup of 3rd generation MDO frameworks. This research is performed in the context of European research project AGILE. The resulting collaborative environment contains user-interfaces and automated services which support in the formulation of MDO processes, inspection of design study results, management of design case requirements and integration of disciplinary analysis modules. Based on the work performed in this research, it can be concluded that the developed collaborative environment shortens the design process lead-time. This gain in lead-time is acquired by increased transparency, control and automation during the setup of 3rd generation MDO frameworks.
AGILE
Advisors/Committee Members: la Rocca, Gianfranco (mentor), Berends, Jochem (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Multidisciplinary Design Optimization; AGILE; MDO
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Beijer, B. (. (2017). Implementation of a collaborative environment to support the integration of 3rd generation MDO frameworks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:be77349c-e150-4f72-b71f-737b7a174867
Chicago Manual of Style (16th Edition):
Beijer, Bastiaan (author). “Implementation of a collaborative environment to support the integration of 3rd generation MDO frameworks.” 2017. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:be77349c-e150-4f72-b71f-737b7a174867.
MLA Handbook (7th Edition):
Beijer, Bastiaan (author). “Implementation of a collaborative environment to support the integration of 3rd generation MDO frameworks.” 2017. Web. 08 Mar 2021.
Vancouver:
Beijer B(. Implementation of a collaborative environment to support the integration of 3rd generation MDO frameworks. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:be77349c-e150-4f72-b71f-737b7a174867.
Council of Science Editors:
Beijer B(. Implementation of a collaborative environment to support the integration of 3rd generation MDO frameworks. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:be77349c-e150-4f72-b71f-737b7a174867

University of Illinois – Urbana-Champaign
13.
Luan, Siyao.
Alternative design optimization formulations – developing and comparing for a vibration damping example.
Degree: MS, Industrial Engineering, 2017, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/98306
► Developing mathematical formulations for design problems requires determining an objective function to compare design alternatives, a set of design features and options to be included…
(more)
▼ Developing mathematical formulations for
design problems requires determining an objective function to compare
design alternatives, a set of
design features and options to be included for consideration, and a predictive model that reflect any unavoidable cause and effect relationships that are relevant. There are no formal principles guiding the formulation process, and heuristics prevail. There are some instances when the level of effort required to formulate the problem and solve the problem are excessive, not worth the improvement that might be realized in the overall
design objective. In other words, a hypothetically “perfect”
design problem formulation that takes all possible factors into account might be so difficult to fully compose and solve that it is not worth the effort. This thesis presents a set of guidelines for formulating
design problems that seeks a middle ground. The method presented defines three different tasks in the formulation process: comparison metrics, predictive model and
design representation. Each task offers opportunities for the practitioner to balance the expected quality of the solution with the level of effort and time required to reach that solution. This thesis demonstrates how using the guidelines can help create alternative formulations for the same
design problem, and then how the resulting solutions can be evaluated and compared. Using a vibration absorber
design example, the guidelines are enumerated, explained, and used to compose six alternative
optimization formulations of the problem. These alternatives formulations vary in objective functions, decision variables, and some other
design formulation practices. The overall goal is to maximize surface finish quality of a machined component processed on a platform to which the vibration absorber is attached. Vibrations of the platform can have a detrimental effect on surface quality. The goal of the vibration absorber system is to minimize these detrimental effects. The six alternative
optimization formulations are subsequently solved, and their scores reflecting their complexity, computational time and solution quality are quantified and compared. The results illustrate the unavoidable tradeoffs among these three attributes. The best formulation depends on the set of tradeoffs that are best in that situation, given the decision maker’s risk attitude and preference.
Advisors/Committee Members: Thurston, Deborah L (advisor).
Subjects/Keywords: Optimization formulation; Design guidelines
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Luan, S. (2017). Alternative design optimization formulations – developing and comparing for a vibration damping example. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98306
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Luan, Siyao. “Alternative design optimization formulations – developing and comparing for a vibration damping example.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed March 08, 2021.
http://hdl.handle.net/2142/98306.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Luan, Siyao. “Alternative design optimization formulations – developing and comparing for a vibration damping example.” 2017. Web. 08 Mar 2021.
Vancouver:
Luan S. Alternative design optimization formulations – developing and comparing for a vibration damping example. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/2142/98306.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Luan S. Alternative design optimization formulations – developing and comparing for a vibration damping example. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98306
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Windsor
14.
Mavrinac, Aaron.
Modeling and Optimizing the Coverage of Multi-Camera Systems.
Degree: PhD, Electrical and Computer Engineering, 2012, University of Windsor
URL: https://scholar.uwindsor.ca/etd/5372
► This thesis approaches the problem of modeling a multi-camera system's performance from system and task parameters by describing the relationship in terms of coverage.…
(more)
▼ This thesis approaches the problem of modeling a multi-camera system's performance from system and task parameters by describing the relationship in terms of coverage. This interface allows a substantial separation of the two concerns: the ability of the system to obtain data from the space of possible stimuli, according to task requirements, and the description of the set of stimuli required for the task. The conjecture is that for any particular system, it is in principle possible to develop such a model with ideal prediction of performance. Accordingly, a generalized structure and tool set is built around the core mathematical definitions of task-oriented coverage, without tying it to any particular model. A family of problems related to coverage in the context of multi-camera systems is identified and described. A comprehensive survey of the state of the art in approaching such problems concludes that by coupling the representation of coverage to narrow problem cases and applications, and by attempting to simplify the models to fit
optimization techniques, both the generality and the fidelity of the models are reduced. It is noted that models exhibiting practical levels of fidelity are well beyond the point where only metaheuristic
optimization techniques are applicable. Armed with these observations and a promising set of ideas from surveyed sources, a new high-fidelity model for multi-camera vision based on the general coverage framework is presented. This model is intended to be more general in scope than previous work, and despite the complexity introduced by the multiple criteria required for fidelity, it conforms to the framework and is thus tractable for certain
optimization approaches. Furthermore, it is readily extended to different types of vision systems. This thesis substantiates all of these claims. The model's fidelity and generality is validated and compared to some of the more advanced models from the literature. Three of the aforementioned coverage problems are then approached in application cases using the model. In one case, a bistatic variant of the sensing modality is used, requiring a modification of the model; the compatibility of this modification, both conceptually and mathematically, illustrates the generality of the framework.
Advisors/Committee Members: Xiang Chen.
Subjects/Keywords: camera; design; modeling; optimization
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mavrinac, A. (2012). Modeling and Optimizing the Coverage of Multi-Camera Systems. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5372
Chicago Manual of Style (16th Edition):
Mavrinac, Aaron. “Modeling and Optimizing the Coverage of Multi-Camera Systems.” 2012. Doctoral Dissertation, University of Windsor. Accessed March 08, 2021.
https://scholar.uwindsor.ca/etd/5372.
MLA Handbook (7th Edition):
Mavrinac, Aaron. “Modeling and Optimizing the Coverage of Multi-Camera Systems.” 2012. Web. 08 Mar 2021.
Vancouver:
Mavrinac A. Modeling and Optimizing the Coverage of Multi-Camera Systems. [Internet] [Doctoral dissertation]. University of Windsor; 2012. [cited 2021 Mar 08].
Available from: https://scholar.uwindsor.ca/etd/5372.
Council of Science Editors:
Mavrinac A. Modeling and Optimizing the Coverage of Multi-Camera Systems. [Doctoral Dissertation]. University of Windsor; 2012. Available from: https://scholar.uwindsor.ca/etd/5372

University of Arizona
15.
Clutter, Melissa Jean.
Designing Robust Measurement Networks Using Universal Multiple Linear Regression
.
Degree: 2019, University of Arizona
URL: http://hdl.handle.net/10150/633093
► Collecting hydrological data is essential for understanding system behavior and processes; without it, there is no basis for predictive modeling or risk assessment. Unfortunately, limited…
(more)
▼ Collecting hydrological data is essential for understanding system behavior and processes; without it, there is no basis for predictive modeling or risk assessment. Unfortunately, limited monitoring budgets often restrict measurement designs for field-based studies. Therefore, most field studies require some sort of data worth analysis to identify the most important data to collect with respect to the prediction(s) of interest. Data worth analyses can be either informal using methods such as trial-and-error, intuition, or rules of thumb, or formal using a quantitative metric to identify the most valuable data. My research focuses on a simple, computationally inexpensive formal data worth analysis which can be used in conjunction with more complex
optimization approaches or when they are not warranted.
A key to network
design is that the selection of sensor type, timing, and placement should be both informative and efficient. There are many possible individual sensor types and installation depths, and the key is to determine which sets of observations would be most effective prior to data collection. My research explores a combination of a method called universal Multiple Linear Regression (uMLR) and Robust Decision Making (RDM) to identify these best observation sets. The uMLR method quantifies the explanatory power of all possible combinations of observations to the prediction(s) of interest and the RDM strategy further explores the impacts of user-defined uncertainties, including measurement error and parameter uncertainty, on these observation-set selections. Robust Decision Making is a concept developed by the Research and Development (RAND) Corporation and is designed to select a robust outcome under a range of uncertainty, at the risk of the selection being sub-optimal for any one specific uncertain outcome. Norgaard et al., (2014) previously used the uMLR approach to downsampling pre-existing data to identify a reduced set of parameters to describe the dispersibility of colloids. I offer an extension of the uMLR downsampling approach, based on model-simulated data, to consider optimizing data that have not yet been collected.
Advisors/Committee Members: Ferre, Ty (advisor), Meixner, Thomas (committeemember), Schaap, Marcel (committeemember).
Subjects/Keywords: design;
linear regression;
measurement;
optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Clutter, M. J. (2019). Designing Robust Measurement Networks Using Universal Multiple Linear Regression
. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/633093
Chicago Manual of Style (16th Edition):
Clutter, Melissa Jean. “Designing Robust Measurement Networks Using Universal Multiple Linear Regression
.” 2019. Doctoral Dissertation, University of Arizona. Accessed March 08, 2021.
http://hdl.handle.net/10150/633093.
MLA Handbook (7th Edition):
Clutter, Melissa Jean. “Designing Robust Measurement Networks Using Universal Multiple Linear Regression
.” 2019. Web. 08 Mar 2021.
Vancouver:
Clutter MJ. Designing Robust Measurement Networks Using Universal Multiple Linear Regression
. [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10150/633093.
Council of Science Editors:
Clutter MJ. Designing Robust Measurement Networks Using Universal Multiple Linear Regression
. [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/633093

Virginia Tech
16.
Wagner, Katherine Mott.
Optimization of Disaggregated Space Systems Using the Disaggregated Integral Systems Concept Optimization Technology Methodology.
Degree: PhD, Aerospace Engineering, 2020, Virginia Tech
URL: http://hdl.handle.net/10919/99338
► Civilians, businesses, and the government all rely on space-based resources for their daily operations. For example, the signal provided by GPS satellites is used by…
(more)
▼ Civilians, businesses, and the government all rely on space-based resources for their daily operations. For example, the signal provided by GPS satellites is used by drivers, commercial pilots, soldiers, and more. Communications satellites provide phone and internet to users in remote areas. Weather satellites provide short-term forecasting and measure climate change. Because of the importance of these and other space systems, it is necessary that they are designed in an efficient, reliable, and cost-effective manner. The Disaggregated Integral Systems Concept
Optimization Technology (DISCO-Tech) is introduced as a means of designing these space systems. DISCO-Tech optimizes various aspects of the space mission, including the number of satellites needed to complete the mission, the location of the satellites, and the sensors that each satellite needs to accomplish its mission. This dissertation describes how DISCO-Tech works, then applies DISCO-Tech to several example missions. The first mission uses satellites to monitor forest fires in California. In order to reduce the cost of this mission, the satellites share launch vehicles with satellites from other, unrelated missions. Next, DISCO-Tech is used to choose the placement of new ground stations for GPS satellites. Because GPS is an important asset, this study also assesses the performance of the network of ground stations when some of the stations are inoperable. Finally, DISCO-Tech is used to
design a group of satellites that measure sea level, since sea level is important for climatology research. A
design is presented for a group of satellites that perform these measurements at a lower cost than a planned mission that uses a single satellite.
Advisors/Committee Members: Black, Jonathan T. (committeechair), Canfield, Robert Arthur (committee member), Michaels, Alan J. (committee member), Sultan, Cornel (committee member), Schroeder, Kevin Kent (committee member).
Subjects/Keywords: disaggregation; constellation design; DSS; optimization
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APA (6th Edition):
Wagner, K. M. (2020). Optimization of Disaggregated Space Systems Using the Disaggregated Integral Systems Concept Optimization Technology Methodology. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99338
Chicago Manual of Style (16th Edition):
Wagner, Katherine Mott. “Optimization of Disaggregated Space Systems Using the Disaggregated Integral Systems Concept Optimization Technology Methodology.” 2020. Doctoral Dissertation, Virginia Tech. Accessed March 08, 2021.
http://hdl.handle.net/10919/99338.
MLA Handbook (7th Edition):
Wagner, Katherine Mott. “Optimization of Disaggregated Space Systems Using the Disaggregated Integral Systems Concept Optimization Technology Methodology.” 2020. Web. 08 Mar 2021.
Vancouver:
Wagner KM. Optimization of Disaggregated Space Systems Using the Disaggregated Integral Systems Concept Optimization Technology Methodology. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10919/99338.
Council of Science Editors:
Wagner KM. Optimization of Disaggregated Space Systems Using the Disaggregated Integral Systems Concept Optimization Technology Methodology. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99338

Delft University of Technology
17.
van der Heyden, L. (author).
Exploring the Kuiper Belt: Design of trajectories for long-term Kuiper Belt exploration.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:f5033eb5-148c-4c7f-a95b-8cee6d25c3d3
► Previous trajectory proposals with the purpose of exploring the Kuiper Belt have been limited to identifying trajectories to fly by a single pre-selected Kuiper Belt…
(more)
▼ Previous trajectory proposals with the purpose of exploring the Kuiper Belt have been limited to identifying trajectories to fly by a single pre-selected Kuiper Belt Object (KBO). Furthermore, these proposals were often limited to high-velocity flybys that pass through the Kuiper Belt in a limited number of years, or are based on the assumption of significant and uncertain technological advances. This thesis investigates the existence of currently feasible trajectories which position a spacecraft inside the Kuiper Belt for a significantly longer period of time. The feasibility of these trajectories is based on the assumption of current technological capabilities and a launch date between the years 2025 and 2040. To model these unique trajectories the conventional MGA-1DSM trajectory model is adapted in order to optimize trajectory problems that aim to reach the Kuiper Belt. The use of powered flybys is excluded in these problems in order to reduce problem and mission complexity. Optimization of the trajectory problems was done by performing an interactive multi-objective optimization approach with four distinct objectives on a set of twenty planetary sequences. The high complexity of these problems in combination with conflicting multiple objectives was found to necessitate an iterative optimization process using the pooled results of several algorithms in order to obtain satisfactory results. The optimization algorithm performance was further enhanced using various encouragement methods. By using the established optimization method multiple routes were identified that all culminate in a long-duration flight through the Kuiper Belt. The best results were found with planetary flyby sequences VVEJS, EVEEJN, and JN. The required launch energy (C3) for these trajectories ranges from 16 km² /s² , for sequences utilizing multiple inner planet flybys, to 75.5 km²/s² , for solutions utilizing adirect Jupiter-Neptune route. The maximum onboard delta V capability required for these solutions is 400 m/s. The flight time to the inner boundary of the Kuiper Belt ranges from 14.6 to 24 years. All thesetrajectories feature a flight time through the Kuiper Belt of well over or close to 100 years. In addition, it was found that trajectories that conclude their planetary flyby sequence with a Jupiter-Neptune leg are found to be especially well suited for long-duration Kuiper Belt flight.
Aeronautical Engineering
Advisors/Committee Members: Noomen, R. (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Kuiper Belt; Trajectory Design; Optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
van der Heyden, L. (. (2020). Exploring the Kuiper Belt: Design of trajectories for long-term Kuiper Belt exploration. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f5033eb5-148c-4c7f-a95b-8cee6d25c3d3
Chicago Manual of Style (16th Edition):
van der Heyden, L (author). “Exploring the Kuiper Belt: Design of trajectories for long-term Kuiper Belt exploration.” 2020. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:f5033eb5-148c-4c7f-a95b-8cee6d25c3d3.
MLA Handbook (7th Edition):
van der Heyden, L (author). “Exploring the Kuiper Belt: Design of trajectories for long-term Kuiper Belt exploration.” 2020. Web. 08 Mar 2021.
Vancouver:
van der Heyden L(. Exploring the Kuiper Belt: Design of trajectories for long-term Kuiper Belt exploration. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:f5033eb5-148c-4c7f-a95b-8cee6d25c3d3.
Council of Science Editors:
van der Heyden L(. Exploring the Kuiper Belt: Design of trajectories for long-term Kuiper Belt exploration. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:f5033eb5-148c-4c7f-a95b-8cee6d25c3d3

Virginia Tech
18.
Butt, Lauren Marie.
Design Optimization of a High Aspect Ratio Rigid/Inflatable Wing.
Degree: MS, Aerospace and Ocean Engineering, 2011, Virginia Tech
URL: http://hdl.handle.net/10919/42641
► High aspect-ratio, long-endurance aircraft require different design modeling from those with traditional moderate aspect ratios. High aspect-ratio, long endurance aircraft are generally more flexible structures…
(more)
▼ High aspect-ratio, long-endurance aircraft require different
design modeling from those with traditional moderate aspect ratios. High aspect-ratio, long endurance aircraft are generally more flexible structures than the traditional wing; therefore, they require modeling methods capable of handling a flexible structure even at the preliminary
design stage.
This work describes a
design optimization method for combining rigid and inflatable wing
design. The
design will take advantage of the benefits of inflatable wing configurations for minimizing weight, while saving on
design pressure requirements and allowing portability by using a rigid section at the root in which the inflatable section can be stowed.
The multidisciplinary
design optimization will determine minimum structural weight based on stress, divergence, and lift-to-drag ratio constraints. Because the goal of this
design is to create an inflatable wing extension that can be packed into the rigid section, packing constraints are also applied to the
design.
Advisors/Committee Members: Kapania, Rakesh K. (committeechair), Bhatia, Manav (committee member), Schetz, Joseph A. (committee member).
Subjects/Keywords: Design Optimization; Aeroelasticity; Inflatable Wings
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Butt, L. M. (2011). Design Optimization of a High Aspect Ratio Rigid/Inflatable Wing. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/42641
Chicago Manual of Style (16th Edition):
Butt, Lauren Marie. “Design Optimization of a High Aspect Ratio Rigid/Inflatable Wing.” 2011. Masters Thesis, Virginia Tech. Accessed March 08, 2021.
http://hdl.handle.net/10919/42641.
MLA Handbook (7th Edition):
Butt, Lauren Marie. “Design Optimization of a High Aspect Ratio Rigid/Inflatable Wing.” 2011. Web. 08 Mar 2021.
Vancouver:
Butt LM. Design Optimization of a High Aspect Ratio Rigid/Inflatable Wing. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10919/42641.
Council of Science Editors:
Butt LM. Design Optimization of a High Aspect Ratio Rigid/Inflatable Wing. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/42641

Delft University of Technology
19.
van Baalen, Sander (author).
Topology Optimised Pedestrian Bridge: A feasibility study in using Topology Optimisation as a design tool for bridge design.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:6184bd62-63d2-4929-ae94-7f549149f5a5
► Research in using Topology optimisation as a tool to improve the design process of bridge design. The research focuses on implementing Topology optimisation in the…
(more)
▼ Research in using Topology optimisation as a tool to improve the design process of bridge design. The research focuses on implementing Topology optimisation in the design process of architects and engineers. As an example topology optimisation is used to propose a design for a pedestrian bridge in Amsterdam.
Building Technology
Advisors/Committee Members: Smits, Joris (mentor), Eigenraam, Peter (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Topology; Bridge; Design; Optimisation; Optimization
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
van Baalen, S. (. (2017). Topology Optimised Pedestrian Bridge: A feasibility study in using Topology Optimisation as a design tool for bridge design. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6184bd62-63d2-4929-ae94-7f549149f5a5
Chicago Manual of Style (16th Edition):
van Baalen, Sander (author). “Topology Optimised Pedestrian Bridge: A feasibility study in using Topology Optimisation as a design tool for bridge design.” 2017. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:6184bd62-63d2-4929-ae94-7f549149f5a5.
MLA Handbook (7th Edition):
van Baalen, Sander (author). “Topology Optimised Pedestrian Bridge: A feasibility study in using Topology Optimisation as a design tool for bridge design.” 2017. Web. 08 Mar 2021.
Vancouver:
van Baalen S(. Topology Optimised Pedestrian Bridge: A feasibility study in using Topology Optimisation as a design tool for bridge design. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:6184bd62-63d2-4929-ae94-7f549149f5a5.
Council of Science Editors:
van Baalen S(. Topology Optimised Pedestrian Bridge: A feasibility study in using Topology Optimisation as a design tool for bridge design. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:6184bd62-63d2-4929-ae94-7f549149f5a5

University of Michigan
20.
Bons, Nicolas.
High-Fidelity Wing Design Exploration with Gradient-Based Optimization.
Degree: PhD, Aerospace Engineering, 2020, University of Michigan
URL: http://hdl.handle.net/2027.42/163242
► Numerical optimization has been applied to wing design problems for over 40 years. Over the decades, the scope and detail of optimization problems have advanced…
(more)
▼ Numerical
optimization has been applied to wing
design problems for over 40 years. Over the decades, the scope and detail of
optimization problems have advanced considerably. At the present time, the state-of-the-art in wing
design optimization incorporates high-fidelity modeling of the steady-state aeroelastic response of the wing at both on-
design and off-
design operating conditions. Reynolds-averaged solutions of the Navier–Stokes equations coupled with linear finite element anal- ysis offer the highest fidelity modeling currently tenable in an
optimization con- text. However, the complexity of implementing and cost of executing high-fidelity aerostructural
optimization have limited the extent of research on the topic. The goal of this dissertation is to examine the general application of these tools to wing
design problems and highlight several factors pertaining to their usefulness and versatility.
Two types of wing
design problems are considered in this dissertation: refin- ing and exploratory. Refining problems are more common in practice, especially for high-fidelity
optimization, because they start from a good
design and make small changes to improve it. Exploratory problems are intended to have liberal parametrizations predisposed to have significant differences between the original and final designs. The investigation of exploratory problems yields novel findings regarding multimodality in the
design space and robustness of the framework.
Multimodality in the
design space can impact the usefulness and versatility of gradient-based
optimization in wing
design. Both aerodynamic and aerostructural wing
design problems are shown to be amenable to gradient-based
optimization despite the existence of multimodality in some cases. For example, a rectangular wing with constant cross-section is successfully converted, through gradient-based
optimization, into a swept-back wing with transonic airfoils and a minimum-mass structure. These studies introduce new insights into the tradeoff between skin- friction and induced drag and its impact on multimodality and
optimization. The results of these studies indicate that multimodality is dependent on model fidelity and geometric parametrization. It is shown that artificial multimodality can be eliminated by improving model fidelity and numerical accuracy of functions and derivatives, whereas physically significant multimodality can be controlled with the application of geometric constraints.
The usefulness of numerical
optimization in wing
design hinges on the ability of the optimizer to competently balance fundamental tradeoffs. With comprehensive access to the relevant
design parameters and physics models of the aerostructural system, an optimizer can converge to a better multidisciplinary
design than is pos- sible with a traditional, sequential
design process. This dissertation features the high-fidelity aerostructural
optimization of an Embraer regional jet, in which si- multaneous
optimization of airfoil shape, planform, and structural sizing variables yields a…
Advisors/Committee Members: Mader, Charles (committee member), Martins, Joaquim R R A (committee member), Young, Yin Lu (committee member), Cesnik, Carlos E (committee member).
Subjects/Keywords: multidisciplinary design optimization; aerostructural optimization; wing design optimization; multimodality in wing design; practical wing design optimization; Aerospace Engineering; Engineering
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Bons, N. (2020). High-Fidelity Wing Design Exploration with Gradient-Based Optimization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163242
Chicago Manual of Style (16th Edition):
Bons, Nicolas. “High-Fidelity Wing Design Exploration with Gradient-Based Optimization.” 2020. Doctoral Dissertation, University of Michigan. Accessed March 08, 2021.
http://hdl.handle.net/2027.42/163242.
MLA Handbook (7th Edition):
Bons, Nicolas. “High-Fidelity Wing Design Exploration with Gradient-Based Optimization.” 2020. Web. 08 Mar 2021.
Vancouver:
Bons N. High-Fidelity Wing Design Exploration with Gradient-Based Optimization. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/2027.42/163242.
Council of Science Editors:
Bons N. High-Fidelity Wing Design Exploration with Gradient-Based Optimization. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163242

Louisiana State University
21.
Zhang, Ying.
Exploiting heterogeneity in Chip-Multiprocessor Design.
Degree: PhD, Electrical and Computer Engineering, 2013, Louisiana State University
URL: etd-10042013-162109
;
https://digitalcommons.lsu.edu/gradschool_dissertations/3918
► In the past decade, semiconductor manufacturers are persistent in building faster and smaller transistors in order to boost the processor performance as projected by Moore’s…
(more)
▼ In the past decade, semiconductor manufacturers are persistent in building faster and smaller transistors in order to boost the processor performance as projected by Moore’s Law. Recently, as we enter the deep submicron regime, continuing the same processor development pace becomes an increasingly difficult issue due to constraints on power, temperature, and the scalability of transistors. To overcome these challenges, researchers propose several innovations at both architecture and device levels that are able to partially solve the problems. These diversities in processor architecture and manufacturing materials provide solutions to continuing Moore’s Law by effectively exploiting the heterogeneity, however, they also introduce a set of unprecedented challenges that have been rarely addressed in prior works. In this dissertation, we present a series of in-depth studies to comprehensively investigate the design and optimization of future multi-core and many-core platforms through exploiting heteroge-neities. First, we explore a large design space of heterogeneous chip multiprocessors by exploiting the architectural- and device-level heterogeneities, aiming to identify the optimal design patterns leading to attractive energy- and cost-efficiencies in the pre-silicon stage. After this high-level study, we pay specific attention to the architectural asymmetry, aiming at developing a heterogeneity-aware task scheduler to optimize the energy-efficiency on a given single-ISA heterogeneous multi-processor. An advanced statistical tool is employed to facilitate the algorithm development. In the third study, we shift our concentration to the device-level heterogeneity and propose to effectively leverage the advantages provided by different materials to solve the increasingly important reliability issue for future processors.
Subjects/Keywords: heterogeneity; design space exploration; design optimization; scheduling
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhang, Y. (2013). Exploiting heterogeneity in Chip-Multiprocessor Design. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-10042013-162109 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3918
Chicago Manual of Style (16th Edition):
Zhang, Ying. “Exploiting heterogeneity in Chip-Multiprocessor Design.” 2013. Doctoral Dissertation, Louisiana State University. Accessed March 08, 2021.
etd-10042013-162109 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3918.
MLA Handbook (7th Edition):
Zhang, Ying. “Exploiting heterogeneity in Chip-Multiprocessor Design.” 2013. Web. 08 Mar 2021.
Vancouver:
Zhang Y. Exploiting heterogeneity in Chip-Multiprocessor Design. [Internet] [Doctoral dissertation]. Louisiana State University; 2013. [cited 2021 Mar 08].
Available from: etd-10042013-162109 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3918.
Council of Science Editors:
Zhang Y. Exploiting heterogeneity in Chip-Multiprocessor Design. [Doctoral Dissertation]. Louisiana State University; 2013. Available from: etd-10042013-162109 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3918

Carnegie Mellon University
22.
Ulu, Erva.
Enhancing the Structural Performance of Additively Manufactured Objects.
Degree: 2018, Carnegie Mellon University
URL: http://repository.cmu.edu/dissertations/1188
► The ability to accurately quantify the performance an additively manufactured (AM) product is important for a widespread industry adoption of AM as the design is…
(more)
▼ The ability to accurately quantify the performance an additively manufactured (AM) product is important for a widespread industry adoption of AM as the design is required to: (1) satisfy geometrical constraints, (2) satisfy structural constraints dictated by its intended function, and (3) be cost effective compared to traditional manufacturing methods. Optimization techniques offer design aids in creating cost-effective structures that meet the prescribed structural objectives. The fundamental problem in existing approaches lies in the difficulty to quantify the structural performance as each unique design leads to a new set of analyses to determine the structural robustness and such analyses can be very costly due to the complexity of in-use forces experienced by the structure. This work develops computationally tractable methods tailored to maximize the structural performance of AM products. A geometry preserving build orientation optimization method as well as data-driven shape optimization approaches to structural design are presented. Proposed methods greatly enhance the value of AM technology by taking advantage of the design space enabled by it for a broad class of problems involving complex in-use loads.
Subjects/Keywords: additive manufacturing; computational design; fabrication; shape optimization; structural optimization; topology optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ulu, E. (2018). Enhancing the Structural Performance of Additively Manufactured Objects. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1188
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Ulu, Erva. “Enhancing the Structural Performance of Additively Manufactured Objects.” 2018. Thesis, Carnegie Mellon University. Accessed March 08, 2021.
http://repository.cmu.edu/dissertations/1188.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Ulu, Erva. “Enhancing the Structural Performance of Additively Manufactured Objects.” 2018. Web. 08 Mar 2021.
Vancouver:
Ulu E. Enhancing the Structural Performance of Additively Manufactured Objects. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2021 Mar 08].
Available from: http://repository.cmu.edu/dissertations/1188.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Ulu E. Enhancing the Structural Performance of Additively Manufactured Objects. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1188
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Colorado School of Mines
23.
Hamilton, William T.
Design and dispatch of concentrating solar power tower systems with utility-scale photovoltaics.
Degree: PhD, Mechanical Engineering, 2019, Colorado School of Mines
URL: http://hdl.handle.net/11124/173973
► By utilizing inexpensive thermal energy storage, concentrating solar power (CSP) can provide dispatchable, stable, and renewable electricity generation; however, current system capital costs are uneconomical…
(more)
▼ By utilizing inexpensive thermal energy storage, concentrating solar power (CSP) can provide dispatchable, stable, and renewable electricity generation; however, current system capital costs are uneconomical for widespread deployment. Conversely, the costs of photovoltaic (PV) systems have dropped significantly in the last decade, which has led to extensive market adoption. Coupling PV systems with batteries can mitigate much of their generation variability; however, the current battery costs are uneconomical to utilize as a grid-scale storage medium. To compete in solar energy-dominated markets while taking advantage of the relative strengths of both technologies, CSP could dispatch electricity around PV generation, resulting a hybridization of the two technologies, referred to as a CSP-PV hybrid. Due to the limited availability of solar resource and storage capacity, CSP-PV hybrid system
design and operational decisions are critical to overall economics. This dissertation presents a methodology for evaluating CSP-PV hybrid systems, which includes: (i) integrating CSP and PV simulation modules using a Python wrapper, (ii) expanding a profit-maximizing mixed-integer linear program that provides a dispatch strategy, (iii) implementing solution techniques to improve model tractability, (iv) modeling a molten salt-driven Rankine cycle to characterize off-
design performance, and (v) utilizing derivative-free, or "black-box," algorithms to perform system-level
design optimization. For CSP-PV hybrid system dispatch at sub-hourly fidelity, we develop solution techniques to reduce solve times by as much as 93%. Additionally, we assess that CSP-PV hybrid systems can almost double capacity factors while improving various economic metrics by as much as 30%. Lastly, we determine that minimizing power purchase agreement price for CSP-PV hybrid
design optimization results in systems with capacity factors less than 62%, but nonetheless with greater than 90% reliability.
Advisors/Committee Members: Braun, Robert J. (advisor), Newman, Alexandra M. (advisor), Jackson, Gregory (committee member), Porter, Jason M. (committee member), Flamand, Tulay (committee member), Guerra, Andres (committee member).
Subjects/Keywords: design optimization; off-design performance; dispatch optimization; concentrating solar power
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Hamilton, W. T. (2019). Design and dispatch of concentrating solar power tower systems with utility-scale photovoltaics. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173973
Chicago Manual of Style (16th Edition):
Hamilton, William T. “Design and dispatch of concentrating solar power tower systems with utility-scale photovoltaics.” 2019. Doctoral Dissertation, Colorado School of Mines. Accessed March 08, 2021.
http://hdl.handle.net/11124/173973.
MLA Handbook (7th Edition):
Hamilton, William T. “Design and dispatch of concentrating solar power tower systems with utility-scale photovoltaics.” 2019. Web. 08 Mar 2021.
Vancouver:
Hamilton WT. Design and dispatch of concentrating solar power tower systems with utility-scale photovoltaics. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/11124/173973.
Council of Science Editors:
Hamilton WT. Design and dispatch of concentrating solar power tower systems with utility-scale photovoltaics. [Doctoral Dissertation]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173973

Virginia Tech
24.
Locatelli, Davide.
Optimization of Supersonic Aircraft Wing-Box using Curvilinear SpaRibs.
Degree: PhD, Engineering Science and Mechanics, 2012, Virginia Tech
URL: http://hdl.handle.net/10919/26345
► This dissertation investigates the advantages of using curvilinear spars and ribs, termed SpaRibs, to design supersonic aircraft wing-box in comparison to the use of classic…
(more)
▼ This dissertation investigates the advantages of using curvilinear spars and ribs, termed SpaRibs, to
design supersonic aircraft wing-box in comparison to the use of classic
design concepts that employ straight spars and ribs. The intent is to achieve a more efficient load-bearing mechanism and to passively control aeorelastic behavior of the structure under the flight loads. The use of SpaRibs broadens the
design space and allows for the natural frequencies and natural mode shape tailoring.
The SpaRibs concept is implemented in a new MATLAB-based
optimization framework referred to as EBF3SSWingOpt. This framework interfaces different analysis software to perform the tasks required. VisualDOC is used as optimizer; the generation of the SpaRibs geometry and of the structure Finite Element Model (FEM) is performed by MD.PATRAN; MD.NASTRAN is utilized to compute the weight of the structure, the linear static stress analysis and the linear buckling analysis required for the calculation of the response functions. EBF3SSWingOpt
optimization scheme performs both the sizing and the shaping of the internal structural elements. Two methods are compared while optimizing the wing-box; a One-Step method in which sizing and topology
optimization are carried out simultaneously and a Two-Step method, in which the sizing and topology
optimization are carried out separately but in an iterative way. The
optimization problem statements for the One-Step and the Two-Step methodologies are presented.
Three methods to define the shape of the SpaRibs parametrically are described: (1) the Bounding Box and Base Curves method defines the shape of the SpaRibs based on the shape of two curves called Base Curves which are positioned into the Bounding Box, a rectangular region defined on the plane z=0 and containing the projection of the wing plan-form onto the same plane; (2) the Linked Shape method defines the shape of a set of SpaRibs in a one by one square domain of the natural space. The set of curves is subsequently transformed in the physical space for creating the wing structure geometry layout. The shape of each curve of each set is unique however, mathematical relations link their curvature in an effort to reduce the number of
design variables; and (3) the Independent Shape parameterization is similar to the Linked Shape parameterization however, the shape of each curve is unique.
The framework and parameterization methods described are applied to optimize different types of wing structures. Following results are presented and discussed: (1) a rectangular wing-box subjected to a chord-wise linearly varying load, optimized using SpaRibs parameterized with Bounding-Box and Base Curves method; (2) a rectangular wing-box subjected to a chord-wise linearly varying load, optimized using SpaRibs parameterized with Linked Shape method; (3) a generic fighter wing subjected to uniform distributed pressure load, optimized using SpaRibs parameterized with Bounding-Box and Base Curves method; (4) a general business jet wing subjected to pull-up…
Advisors/Committee Members: Kapania, Rakesh K. (committeechair), Singh, Mahendra P. (committee member), Patil, Mayuresh J. (committee member), Thangjitham, Surot (committee member), Schetz, Joseph A. (committee member).
Subjects/Keywords: Structural Optimization; Wing Optimization; SpaRibs; Aircraft Design; Particle Swarm Optimization; Supersonic Aircraft Design
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Locatelli, D. (2012). Optimization of Supersonic Aircraft Wing-Box using Curvilinear SpaRibs. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26345
Chicago Manual of Style (16th Edition):
Locatelli, Davide. “Optimization of Supersonic Aircraft Wing-Box using Curvilinear SpaRibs.” 2012. Doctoral Dissertation, Virginia Tech. Accessed March 08, 2021.
http://hdl.handle.net/10919/26345.
MLA Handbook (7th Edition):
Locatelli, Davide. “Optimization of Supersonic Aircraft Wing-Box using Curvilinear SpaRibs.” 2012. Web. 08 Mar 2021.
Vancouver:
Locatelli D. Optimization of Supersonic Aircraft Wing-Box using Curvilinear SpaRibs. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10919/26345.
Council of Science Editors:
Locatelli D. Optimization of Supersonic Aircraft Wing-Box using Curvilinear SpaRibs. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/26345
25.
Cook, Laurence William.
Effective formulations of optimization under uncertainty for aerospace design.
Degree: PhD, 2018, University of Cambridge
URL: https://doi.org/10.17863/CAM.23427
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744871
► Formulations of optimization under uncertainty (OUU) commonly used in aerospace design—those based on treating statistical moments of the quantity of interest (QOI) as separate objectives—can…
(more)
▼ Formulations of optimization under uncertainty (OUU) commonly used in aerospace design—those based on treating statistical moments of the quantity of interest (QOI) as separate objectives—can result in stochastically dominated designs. A stochastically dominated design is undesirable, because it is less likely than another design to achieve a QOI at least as good as a given value, for any given value. As a remedy to this limitation for the multi-objective formulation of moments, a novel OUU formulation is proposed—dominance optimization. This formulation seeks a set of solutions and makes use of global optimizers, so is useful for early stages of the design process when exploration of design space is important. Similarly, to address this limitation for the single-objective formulation of moments (combining moments via a weighted sum), a second novel formulation is proposed—horsetail matching. This formulation can make use of gradient- based local optimizers, so is useful for later stages of the design process when exploitation of a region of design space is important. Additionally, horsetail matching extends straightforwardly to different representations of uncertainty, and is flexible enough to emulate several existing OUU formulations. Existing multi-fidelity methods for OUU are not compatible with these novel formulations, so one such method—information reuse—is generalized to be compatible with these and other formulations. The proposed formulations, along with generalized information reuse, are compared to their most comparable equivalent in the current state-of-the-art on practical design problems: transonic aerofoil design, coupled aero-structural wing design, high-fidelity 3D wing design, and acoustic horn shape design. Finally, the two novel formulations are combined in a two-step design process, which is used to obtain a robust design in a challenging version of the acoustic horn design problem. Dominance optimization is given half the computational budget for exploration; then horsetail matching is given the other half for exploitation. Using exactly the same computational budget as a moment-based approach, the design obtained using the novel formulations is 95% more likely to achieve a better QOI than the best value achievable by the moment-based design.
Subjects/Keywords: 629.134; Optimization; Robust Optimization; Optimization Under Uncertainty; Design; Design Optimization; Aerospace Design; Aerofoil Design; Uncertainty Quantification; Monte Carlo; Multi-Fidelity; Information Reuse; Wing Design; Aero-Structural Design
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Cook, L. W. (2018). Effective formulations of optimization under uncertainty for aerospace design. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.23427 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744871
Chicago Manual of Style (16th Edition):
Cook, Laurence William. “Effective formulations of optimization under uncertainty for aerospace design.” 2018. Doctoral Dissertation, University of Cambridge. Accessed March 08, 2021.
https://doi.org/10.17863/CAM.23427 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744871.
MLA Handbook (7th Edition):
Cook, Laurence William. “Effective formulations of optimization under uncertainty for aerospace design.” 2018. Web. 08 Mar 2021.
Vancouver:
Cook LW. Effective formulations of optimization under uncertainty for aerospace design. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2021 Mar 08].
Available from: https://doi.org/10.17863/CAM.23427 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744871.
Council of Science Editors:
Cook LW. Effective formulations of optimization under uncertainty for aerospace design. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://doi.org/10.17863/CAM.23427 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744871

Delft University of Technology
26.
De Marco, Andrea (author).
Application of Evolutionary Structural Optimization to Reinforced Concrete Structures.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:efd1ad24-017f-48ac-8e31-184339a9d148
► The present thesis has the objective to create a procedure for the automatic preliminary design of reinforced concrete structures, based on the Evolutionary Structural Optimization…
(more)
▼ The present thesis has the objective to create a procedure for the automatic preliminary
design of reinforced concrete structures, based on the Evolutionary Structural
Optimization method (ESO). The developed algorithm performs heuristic topology
optimization based on multiple criteria, in subsequent
optimization cycles executed in series. In each ESO cycle, it is possible to perform material addition, removal or transition between a couple of materials, i.e. steel, concrete and void. Each
optimization cycle is governed by an optimality criterion chosen from: stiffness, Von Mises, Drucker-Prager, tension stress criteria or linear interpolation of previous ones. The finite element analysis used in the algorithm regards all materials as linear elastic. The reaching of maximum strength and failure of materials is not taken into account. The automated
design process of reinforced concrete structures has been separated in two problems: the form-finding of reinforced concrete structure as a whole and the definition of internal distribution between steel and concrete. The first problem is solved, in the first
optimization cycle, with a ``standard'' ESO procedure, with the only difference in choosing a Von Mises
optimization criterion over a ``classical'' stiffness criterion. The second problem is solved, in the second and third
optimization cycles, combining in series two additional ``modified'' ESO procedures and introducing gradual transition in
optimization criteria through linear interpolation of sensitivity numbers. The combined criteria for the second cycle are a Von Mises and Drucker-Prager
optimization criteria, while for the third cycle, a Drucker-Prager and tensile stress
optimization criteria. Moreover, additional geometrical constraints are applied, to ensure a set minimal distance between steel and outer boundaries, i.e. concrete cover, and to ensure optimal angle preservation for steel members found during
optimization, introducing two new ``density'' matrices called \emph{cover} and \emph{mask}. Summarizing, the preliminary
design of reinforced concrete structures is dealt with three cycles of ESO
optimization procedures executed in series, with
optimization criteria that gradually change with continuity between the different cycles over the whole process. The developed procedure has been tested on several case studies, both from ESO and reinforced concrete literature. The defined ESO process has been found to generate solutions with steel correctly placed in tensile stress zones both to resist bending and shear. Generally, the presence of remaining tensile stresses in concrete zones in the solutions is absent or very limited, and in latter cases their magnitude is very small compared to other stresses. Obtained solutions cannot be directly used as such for reinforcement layouts definition but, in combination with principal stresses plots and engineering judgement, they are able to suggest useful resulting reinforcement layouts. As result of the specificities introduced for…
Advisors/Committee Members: Hendriks, Max (mentor), Rots, Jan (graduation committee), Braam, Rene (graduation committee), Langelaar, Matthijs (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Evolutionary Structural Optimization; Bi-directional Evolutionary Structural Optimization; Computational Optimization; Topology Optimization; Structural Optimization; Heuristic Optimization; ESO; BESO; Optimization Algorithm; Optimization Procedure; Reinforced Concrete Structures; Reinforced Concrete Design; Reinforced Concrete
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
De Marco, A. (. (2018). Application of Evolutionary Structural Optimization to Reinforced Concrete Structures. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:efd1ad24-017f-48ac-8e31-184339a9d148
Chicago Manual of Style (16th Edition):
De Marco, Andrea (author). “Application of Evolutionary Structural Optimization to Reinforced Concrete Structures.” 2018. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:efd1ad24-017f-48ac-8e31-184339a9d148.
MLA Handbook (7th Edition):
De Marco, Andrea (author). “Application of Evolutionary Structural Optimization to Reinforced Concrete Structures.” 2018. Web. 08 Mar 2021.
Vancouver:
De Marco A(. Application of Evolutionary Structural Optimization to Reinforced Concrete Structures. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:efd1ad24-017f-48ac-8e31-184339a9d148.
Council of Science Editors:
De Marco A(. Application of Evolutionary Structural Optimization to Reinforced Concrete Structures. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:efd1ad24-017f-48ac-8e31-184339a9d148

Delft University of Technology
27.
Vergeer, Michael (author).
Structural topology optimization of an active motion compensated gangway.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:ab92c1fb-a5b1-4302-b2b4-fcd36b84f0dc
► In the offshore industry, there is a growing demand for designing efficient, sustainable and competitive products. In order to fulfil the component requirements, a method…
(more)
▼ In the offshore industry, there is a growing demand for designing efficient, sustainable and competitive products. In order to fulfil the component requirements, a method named topology
optimization can be applied. This is a mathematical
design method which can be used in the early phases of the
design process.At IHC there is an interest of applying topology
optimization for their equipment development process. Therefore the possibilities and limitations of the method should be investigated thoroughly. The research covers the
optimization process of a motion compensated gangway. A motion compensated gangway is a walkway which can be used to provide access from the transport vessel to the offshore structure. Its function is to transport people and cargo safely from the ship to the offshore structure or vice versa. The goal of this research was to determine to what extent topology
optimization can be used in the
design of a motion compensated gangway. Finding an optimized result in terms of weight and stiffness by using this mathematical method which satisfies all the requirements. The structural
optimization is carried out with several commercial software packages which are compared by using a multi-criteria analysis. During the
optimization process it has been found that there are essentially two stages in the
optimization process. In the first stage, the topology or beam orientation of the structure is defined by the topology
optimization process. In this part the concept of the
design is generated. Variation of the
optimization parameters was used in order to develop an efficient structure. The objective for the optimizer was to minimize the compliance of the structure for a certain volume fraction. In the second stage, the dimensions of all the beams and elements are defined by performing a size
optimization. A line model is generated which represents the orientation of the members in the structure. During the size
optimization the shape and the dimensions of the members are defined in order to fulfill the objective. The objective is to minimize the mass of the structure while constraints are defined for the maximum allowable stresses in the members and the maximum vertical deflection of the structure. This post-processing step is required in order to obtain a feasible
design. The structural stability of the gangway was improved by performing a linear buckling analysis and by adapting the structure in order to reduce the buckling behaviour. In the final step of the
optimization process, a CAD drawing is generated. This model is analysed by performing a finite element analysis. This showed that the new optimized
design satisfies all the requirements which are stated by the DNV for designing a motion compensated gangway. The combination of the topology and size
optimization resulted in a new
design which yielded a weight reduction of 36,4% compared to the current
design. The weight was reduced from 13,08 ton to 8,31 ton, while still satisfying all the constraints.…
Advisors/Committee Members: Miedema, Sape (graduation committee), Langelaar, Matthijs (graduation committee), Helmons, Rudy (graduation committee), Kromwijk, PJ (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Optimization; Topology optimization; Shape optimization; Motion compensated gangway; Structural Optimization; Optistruct; Hyperworks; Size optimization; Design methodology
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Vergeer, M. (. (2018). Structural topology optimization of an active motion compensated gangway. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ab92c1fb-a5b1-4302-b2b4-fcd36b84f0dc
Chicago Manual of Style (16th Edition):
Vergeer, Michael (author). “Structural topology optimization of an active motion compensated gangway.” 2018. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:ab92c1fb-a5b1-4302-b2b4-fcd36b84f0dc.
MLA Handbook (7th Edition):
Vergeer, Michael (author). “Structural topology optimization of an active motion compensated gangway.” 2018. Web. 08 Mar 2021.
Vancouver:
Vergeer M(. Structural topology optimization of an active motion compensated gangway. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:ab92c1fb-a5b1-4302-b2b4-fcd36b84f0dc.
Council of Science Editors:
Vergeer M(. Structural topology optimization of an active motion compensated gangway. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:ab92c1fb-a5b1-4302-b2b4-fcd36b84f0dc

Georgia Tech
28.
Ghosh, Sayan.
Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty.
Degree: PhD, Aerospace Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/56302
► Uncertainty based Multidisciplinary Optimization (UMDO) relies on propagation of uncertainties across several disciplines. A typical aircraft design process involves collaboration of multiple and diverse teams…
(more)
▼ Uncertainty based Multidisciplinary
Optimization (UMDO) relies on propagation of uncertainties across several disciplines. A typical aircraft
design process involves collaboration of multiple and diverse teams involving high-fidelity disciplinary tools and experts. Therefore, traditional methods such as All-In-One (AIO), which integrates all the disciplines and treats the entire multidisciplinary analysis process as a black box becomes infeasible for uncertainty propagation and analysis. If all the disciplines cannot be tightly integrated, then it is helpful to use a method that conducts uncertainty propagation in each discipline and combines their results into a system level uncertainty.
Distributed UMDO methods based on Collaborative
Optimization (CO), Concurrent Subs-Space
Optimization (CSSO), Analytical Target Cascading (ATC), Bi-Level Integrated System Synthesis (BLISS), etc. use the strategy of decomposition and coordination to carry out distributed uncertainty analysis and
optimization by preserving disciplinary autonomy. However, there are shortcomings in these methods which leads to inaccurate quantification of uncertainty at system level. One such disadvantage is the inability to handle statistical dependencies among coupling variables. In most cases, the statistical dependencies manifests due the underlying functional relationship between the variables. Most of the existing distributed UMDO methods in literature assume that the coupling variables are independent of each other. Although, under certain conditions this assumption is valid, nonetheless it may lead to inaccurate estimation of uncertainty quantification at system level if the dependencies of coupling variables are significant and if the system level metric is sensitive to the dependencies. Another limitation in the existing distributed UMDO literature is related to interdisciplinary compatibility. One of the common strategies to achieve interdisciplinary compatibility is by moment matching method. Since, only marginal distributions of coupling variables are considered in the moment matching, it works well when coupling variables are statistically independent. However, when coupling variables are dependent, this strategy does not guarantee that interdisciplinary compatibility is satisfied for every instantiation of uncertain variables. Also, most of these methods assume that the uncertain coupling variables have fixed functional form of probability density function, most commonly a Gaussian density function. This assumption breaks down when the local uncertainties in disciplines are non-Gaussian and disciplines are non-linear functions of input variables which lead to non-Gaussian coupling variables.
To overcome these limitations, Probabilistic Analysis of Distributed Multidisciplinary Architectures (PADMA) is developed. PADMA is a bi-level distributed uncertainty based multidisciplinary analysis (UMDA) method which allows each discipline to carry out uncertainty propagation independently and concurrently. It is a non-iterative method in which…
Advisors/Committee Members: Mavris, Dimitri N. (advisor), Kennedy, Graeme J. (committee member), Vidakovic, Brani (committee member), Sankar, Lakshmi N. (committee member), Schrage, Daniel P. (committee member).
Subjects/Keywords: Uncertainty quantification; Multidisciplinary design optimization; MDO; Design optimization; Quantile regression; Copula; Statistical dependence; Design under uncertainty; Concurrent optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ghosh, S. (2016). Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56302
Chicago Manual of Style (16th Edition):
Ghosh, Sayan. “Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/56302.
MLA Handbook (7th Edition):
Ghosh, Sayan. “Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty.” 2016. Web. 08 Mar 2021.
Vancouver:
Ghosh S. Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/56302.
Council of Science Editors:
Ghosh S. Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56302

University of Illinois – Urbana-Champaign
29.
Guo, Daifeng.
Algorithms for DFM in electronic design automation.
Degree: PhD, Electrical & Computer Engr, 2019, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/104852
► As the dimension of features in integrated circuits (IC) keeps shrinking to fulfill Moore’s law, the manufacturing process has no choice but confronting the limit…
(more)
▼ As the dimension of features in integrated circuits (IC) keeps shrinking to fulfill Moore’s law, the manufacturing process has no choice but confronting the limit of physics at the expense of
design flexibility. On the other hand, IC designs inevitably becomes more complex to meet the increasing demand of computational power. To close this gap,
design for manufacturing (DFM) becomes the key to enable an easy and low-cost IC fabrication. Therefore, efficient electronic
design automation (EDA) algorithms must be developed for DFM to address the
design constraints and help the designers to better facilitate the manufacture process. As the core of manufacturing ICs, conventional lithography systems (193i) reach their limit for the 22 nm technology node and beyond. Consequently, several advanced lithography techniques are proposed, such as multiple patterning lithography (MPL), extreme ultra-violet lithography (EUV), electron beam (E-beam), and block copolymer directed self-assembly (DSA); however, DFM algorithms are essential for them to achieve better printability of a
design. In this dissertation, we focus on analyzing the compatibility of designs and various advanced lithography techniques, and develop efficient algorithms to enable the manufacturing.
We first explore E-Beam, one of the promising candidates for IC fabrication beyond the 10 nm technology node. To address its low throughput issue, the character projection technique has been proposed, and its stencil planning can be optimized with an awareness of overlapping characters. 2D stencil planning is proved NP-Hard. With the assumption of standard cells, the 2D problem can be partitioned into 1D row ordering subproblems; however, it is also considered hard, and no efficient optimal solution has been provided so far. We propose a polynomial time optimal algorithm to solve the 1D row ordering problem, which serves as the major subroutine for the entire stencil planning problem. Technical proofs and experimental results verify that our algorithm is efficient and indeed optimal.
As the most popular and practical lithography technique, MPL utilizes multiple exposures to print a single layout and thus allows placement of features within the minimum distance. Therefore, a feasible decomposition of the layout is a must to adopt MPL, and it is usually formulated as a graph k-coloring problem, which is computationally difficult for k > 2. We study the k-colorability of rectangular and diagonal grid graphs as induced subgraphs of a rectangular or diagonal grid respectively, since it has direct applications in printing contact/via layouts. It remains an open question on how hard it is to color grid graphs due to their regularity and sparsity. In this dissertation, we conduct a complete analysis of the k-coloring problems on rectangular and diagonal grid graphs, and particularly the NP-completeness of 3-coloring on a diagonal grid graph is proved. In practice, we propose an exact 3-coloring algorithm for those graphs and conduct experiments to verify its performance and…
Advisors/Committee Members: Wong, Martin D.F. (advisor), Wong, Martin D.F. (Committee Chair), Chen, Deming (committee member), Vasudevan, Shobha (committee member), Chiang, Charles (committee member).
Subjects/Keywords: Algorithm; Optimization; Design for Manufacturing; Electronic Design Automation; Computer-Aided Design
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Guo, D. (2019). Algorithms for DFM in electronic design automation. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104852
Chicago Manual of Style (16th Edition):
Guo, Daifeng. “Algorithms for DFM in electronic design automation.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 08, 2021.
http://hdl.handle.net/2142/104852.
MLA Handbook (7th Edition):
Guo, Daifeng. “Algorithms for DFM in electronic design automation.” 2019. Web. 08 Mar 2021.
Vancouver:
Guo D. Algorithms for DFM in electronic design automation. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/2142/104852.
Council of Science Editors:
Guo D. Algorithms for DFM in electronic design automation. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104852
30.
Joshi, Prachi.
Design Space Exploration for Embedded Systems in Automotives.
Degree: PhD, Computer Engineering, 2018, Virginia Tech
URL: http://hdl.handle.net/10919/82839
► With ever increasing contents (safety, driver assistance, infotainment, etc.) in today's automotive systems that rely on electronics and software, the supporting architecture is integrated by…
(more)
▼ With ever increasing contents (safety, driver assistance, infotainment, etc.) in today's automotive systems that rely on electronics and software, the supporting architecture is integrated by a complex set of heterogeneous data networks. A modern automobile contains up to 100 ECUs and several heterogeneous communication buses (such as CAN, FlexRay, etc.), exchanging thousands of signals. The automotive Original Equipment Manufacturers (OEMs) and suppliers face a number of challenges such as reliability, safety and cost to incorporate the growing functionalities in vehicles. Additionally, reliability, safety and cost are major concerns for the industry.
One of the important challenges in automotive
design is the efficient and reliable transmission of signals over communication networks such as CAN and CAN-FD. With the growing features in automotives, the OEMs already face the challenge of saturation of bus bandwidth hindering the reliability of communication and the inclusion of additional features. In this dissertation, we study the problem of
optimization of bandwidth utilization (BU) over CAN-FD networks. Signals are transmitted over the CAN/CAN-FD bus in entities called frames. The signal-to-frame-packing has been studied in the literature and it is compared to the bin packing problem which is known to be NP-hard.
By carefully optimizing signal-to-frame packing, the CAN-FD BU can be reduced. In Chapter 3, we propose a method for offset assignment to signals and show its importance in improving BU. One of our contributions for an industrial setting is a modest improvement in BU of about 2.3%. Even with this modest improvement, the architecture's lifetime could potentially be extended by several product cycles, which may translate to saving millions of dollars for the OEM. Therefore, the
optimization of signal-to-frame packing in CAN-FD is the major focus of this dissertation. Another challenge addressed in this dissertation is the reliable mapping of a task model onto a given architecture, such that the end-to-end latency requirements are satisfied. This avoids costly redesign and redevelopment due to system
design errors.
Advisors/Committee Members: Zeng, Haibo (committeechair), Shukla, Sandeep K. (committee member), Ravi, Sekharipuram Subramaniam (committee member), Hsiao, Michael S. (committee member), Vullikanti, Anil Kumar S. (committee member), Yang, Yaling (committee member).
Subjects/Keywords: design space exploration; automotive design; real time system design; optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Joshi, P. (2018). Design Space Exploration for Embedded Systems in Automotives. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82839
Chicago Manual of Style (16th Edition):
Joshi, Prachi. “Design Space Exploration for Embedded Systems in Automotives.” 2018. Doctoral Dissertation, Virginia Tech. Accessed March 08, 2021.
http://hdl.handle.net/10919/82839.
MLA Handbook (7th Edition):
Joshi, Prachi. “Design Space Exploration for Embedded Systems in Automotives.” 2018. Web. 08 Mar 2021.
Vancouver:
Joshi P. Design Space Exploration for Embedded Systems in Automotives. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10919/82839.
Council of Science Editors:
Joshi P. Design Space Exploration for Embedded Systems in Automotives. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82839
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