You searched for subject:(sensitivity analysis).
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Oregon State University
1.
Kennedy, Kenneth M.
Model Adaptivity and Numerical Solutions Using Sensitivity Analysis.
Degree: PhD, 2017, Oregon State University
URL: http://hdl.handle.net/1957/61398 
► In this work we consider the dependence of solutions to a partial differential equations system on its data. The problem of interest is a coupled…
(more)
▼ In this work we consider the dependence of solutions to a partial differential equations system on its data. The problem of interest is a coupled model of nonlinear flow and transport in porous media, with applications, e.g. to environmental modeling. The model of flow we consider is known as the non-Darcy model, and its solutions: the velocity, and pressure unknowns, depend on the coefficients of permeability and inertia, and other data such as boundary conditions. In turn, the transport solutions depend on the velocity of the fluid, and on boundary and initial conditions. Furthermore, one can be interested in a particular quantity computable from the flow and transport solutions, and represented by a functional. In this work we evaluate rigorously the
sensitivity, i.e., the derivative, of the solutions, or of the quantity of interest, upon the data.
Due to its delicate nature, the
sensitivity is evaluated either in a direct way, called Forward
Sensitivity, or via an adjoint method, which only uses a variational form. Our first contribution is that we find a way to find the
sensitivity for the coupled flow and transport model without having to solve multiple flow problems. Second, we prove the well-posedness of the flow problem, and set up the numerical approximation using the framework similar to that of expanded mixed finite element methods.
Next, the numerical approximation of the problem leads to a nonlinear system of discrete equations, which is difficult to solve. To aid in solving this system, we propose to take advantage of
sensitivity analysis, which is used in a novel way within a homotopy framework. The theoretical results in this thesis are illustrated with numerical simulations. The code, in Python, for the examples is provided.
Advisors/Committee Members: Peszynska, Malgorzata (advisor), Lee, John W. (committee member).
Subjects/Keywords: Sensitivity analysis
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APA (6th Edition):
Kennedy, K. M. (2017). Model Adaptivity and Numerical Solutions Using Sensitivity Analysis. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/61398
Chicago Manual of Style (16th Edition):
Kennedy, Kenneth M. “Model Adaptivity and Numerical Solutions Using Sensitivity Analysis.” 2017. Doctoral Dissertation, Oregon State University. Accessed February 27, 2021.
http://hdl.handle.net/1957/61398.
MLA Handbook (7th Edition):
Kennedy, Kenneth M. “Model Adaptivity and Numerical Solutions Using Sensitivity Analysis.” 2017. Web. 27 Feb 2021.
Vancouver:
Kennedy KM. Model Adaptivity and Numerical Solutions Using Sensitivity Analysis. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1957/61398.
Council of Science Editors:
Kennedy KM. Model Adaptivity and Numerical Solutions Using Sensitivity Analysis. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61398
Colorado School of Mines
2.
Ryken, Anna C.
Sensitivity and model reduction of simulated snow processes: contrasting observational and parameter uncertainty to improve prediction.
Degree: MS(M.S.), Geology and Geological Engineering, 2018, Colorado School of Mines
URL: http://hdl.handle.net/11124/172341
► The hydrology of high-elevation, mountainous regions is poorly represented in Earth Systems Models (ESMs). In addition to regulating downstream water delivery, these ecosystems play an…
(more)
▼ The hydrology of high-elevation, mountainous regions is poorly represented in Earth Systems Models (ESMs). In addition to regulating downstream water delivery, these ecosystems play an important role in the storage and land-atmosphere exchange of water. Water balances are sensitive to the amount of water stored in the snowpack (snow water equivalent, SWE), as much of Colorado’s water supply is derived from snowmelt. In an effort to resolve this hydrologic gap in ESMs, this study seeks to better understand how uncertainty in both model parameters and forcing affect simulated snow processes. To better understand parameter uncertainty and asses model performance, this study conducts a
sensitivity analysis, using active subspaces, on model inputs (meteorological forcing and static parameters) for both evergreen needleleaf and bare ground land cover types. Observations from an AmeriFlux tower at the Niwot Ridge research site are used to force an integrated single-column hydrologic model, ParFlow-CLM. This study found that trees can mute the effects of sublimation causing the evergreen needleleaf model to be sensitive primarily to hydrologic forcing; humidity in the winter, radiation and air temperature in the summer months. However, bare ground simulations were most sensitive to snow parameters along with radiation as these are unblocked by canopy. The bare ground model is most sensitive to overall changes to the linear combination of input parameters, which means radiation observations and snow parameterizations are of great importance for obtaining accurate hydrologic model results. Humidity measurements are also important, but the change in SWE of the evergreen needleleaf simulations was less than that of the bare ground simulations.
Advisors/Committee Members: Maxwell, Reed M. (advisor), Kroepsch, Adrianne (committee member), Singha, Kamini (committee member), Gochis, David (committee member).
Subjects/Keywords: sensitivity analysis; modeling
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APA (6th Edition):
Ryken, A. C. (2018). Sensitivity and model reduction of simulated snow processes: contrasting observational and parameter uncertainty to improve prediction. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172341
Chicago Manual of Style (16th Edition):
Ryken, Anna C. “Sensitivity and model reduction of simulated snow processes: contrasting observational and parameter uncertainty to improve prediction.” 2018. Masters Thesis, Colorado School of Mines. Accessed February 27, 2021.
http://hdl.handle.net/11124/172341.
MLA Handbook (7th Edition):
Ryken, Anna C. “Sensitivity and model reduction of simulated snow processes: contrasting observational and parameter uncertainty to improve prediction.” 2018. Web. 27 Feb 2021.
Vancouver:
Ryken AC. Sensitivity and model reduction of simulated snow processes: contrasting observational and parameter uncertainty to improve prediction. [Internet] [Masters thesis]. Colorado School of Mines; 2018. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/11124/172341.
Council of Science Editors:
Ryken AC. Sensitivity and model reduction of simulated snow processes: contrasting observational and parameter uncertainty to improve prediction. [Masters Thesis]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172341
Penn State University
3.
Doddabasappa, Sushamshushekar.
LQR CONTROL DESIGN FOR A DC-DC CONVERTER USING SENSITIVITY FUNCTIONS.
Degree: 2019, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/15667sud56
► To fulfill the ever-increasing energy demand and to curb the innumerable threats that conventional energy generation techniques are posing, we are forced to explore the…
(more)
▼ To fulfill the ever-increasing energy demand and to curb the innumerable threats that conventional
energy generation techniques are posing, we are forced to explore the use of renewable
energy sources. The contribution of renewable energy sources in total primary energy consumption
has been steadily rising in the past few decades. The increased penetration of the renewable
energy sources into the power system network have provided enormous opportunities and their
own set of challenges to deal with. Hence, the study of various control strategies and their
performances employed to integrate the renewable energy sources to the existing power system
network is of prime importance. In this research, a novel technique is proposed to analyze the
performance of the close loop system used to integrate a renewable energy source to the power
system network.
A solar photovoltaic array connected to a load interfaced via a dc-dc converter is considered
as the test system in this research. An optimal control theory based linear quadratic regulator
(LQR) controller is designed for the closed loop operation of the system. Derivative based
sensitivity functions are formulated to validate the performance of the designed closed loop
controller. The contribution of closed loop controller to the stability and overall system response
is analyzed using the
sensitivity functions. The system characteristics such as settling time and
percent overshoot are modified to meet the desired requirements using the derived
sensitivity
functions. A simplified model of the system is built using MATLAB/Simulink and several case
studies are performed on the test system to validate the claims of this research.
Advisors/Committee Members: Javad Khazaei, Thesis Advisor/Co-Advisor, Peter Idowu, Committee Member, Scott Van Tonningen, Committee Member.
Subjects/Keywords: LQR Control; Sensitivity Functions; Sensitivity Analysis
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APA (6th Edition):
Doddabasappa, S. (2019). LQR CONTROL DESIGN FOR A DC-DC CONVERTER USING SENSITIVITY FUNCTIONS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15667sud56
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):
Doddabasappa, Sushamshushekar. “LQR CONTROL DESIGN FOR A DC-DC CONVERTER USING SENSITIVITY FUNCTIONS.” 2019. Thesis, Penn State University. Accessed February 27, 2021.
https://submit-etda.libraries.psu.edu/catalog/15667sud56.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Doddabasappa, Sushamshushekar. “LQR CONTROL DESIGN FOR A DC-DC CONVERTER USING SENSITIVITY FUNCTIONS.” 2019. Web. 27 Feb 2021.
Vancouver:
Doddabasappa S. LQR CONTROL DESIGN FOR A DC-DC CONVERTER USING SENSITIVITY FUNCTIONS. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Feb 27].
Available from: https://submit-etda.libraries.psu.edu/catalog/15667sud56.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Doddabasappa S. LQR CONTROL DESIGN FOR A DC-DC CONVERTER USING SENSITIVITY FUNCTIONS. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/15667sud56
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Mississippi State University
4.
Jiang, Yi.
Sensitivity analysis and parameter estimation for the APEX model on runoff, sediments and phosphorus.
Degree: PhD, Civil and Environmental Engineering, 2016, Mississippi State University
URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10262016-184604/
;
► Sensitivity analysis is essential for the hydrologic models to help gain insight into models behavior, and assess the model structure and conceptualization. Parameter estimation…
(more)
▼ Sensitivity analysis is essential for the hydrologic models to help gain insight into models behavior, and assess the model structure and conceptualization. Parameter estimation in the distributed hydrologic models is difficult due to the high-dimensional parameter spaces.
Sensitivity analysis identified the influential and non-influential parameters in the modeling process, thus it will benefit the calibration process.
This study identified, applied and evaluated two
sensitivity analysis methods for the APEX model. The screening methods, the Morris method, and LH-OAT method, were implemented in the experimental site in North Carolina for modeling runoff, sediment loss, TP and DP losses. At the beginning of the application, the run number evaluation was conducted for the Morris method. The result suggested that 2760 runs were sufficient for 45 input parameters to get reliable
sensitivity result.
Sensitivity result for the five management scenarios in the study site indicated that the Morris method and LH-OAT method provided similar results on the
sensitivity of the input parameters, except the difference on the importance of PARM2, PARM8, PARM12, PARM15, PARM20, PARM49, PARM76, PARM81, PARM84, and PARM85. The results for the five management scenarios indicated the very influential parameters were consistent in most cases, such as PARM23, PARM34, and PARM84. The sensitive parameters had good overlaps between different scenarios. In addition, little variation was observed in the importance of the sensitive parameters in the different scenarios, such as PARM26.
The optimization process with the most influential parameters from
sensitivity analysis showed great improvement on the APEX modeling performance in all scenarios by the objective functions, PI1, NSE, and GLUE.
Advisors/Committee Members: Dennis D. Truax (chair), John J. Ramirez-Avila (chair), Veera Gnaneswar Gude (committee member), James L. Martin (committee member).
Subjects/Keywords: APEX; Parameter optimization; Sensitivity analysis
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APA (6th Edition):
Jiang, Y. (2016). Sensitivity analysis and parameter estimation for the APEX model on runoff, sediments and phosphorus. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10262016-184604/ ;
Chicago Manual of Style (16th Edition):
Jiang, Yi. “Sensitivity analysis and parameter estimation for the APEX model on runoff, sediments and phosphorus.” 2016. Doctoral Dissertation, Mississippi State University. Accessed February 27, 2021.
http://sun.library.msstate.edu/ETD-db/theses/available/etd-10262016-184604/ ;.
MLA Handbook (7th Edition):
Jiang, Yi. “Sensitivity analysis and parameter estimation for the APEX model on runoff, sediments and phosphorus.” 2016. Web. 27 Feb 2021.
Vancouver:
Jiang Y. Sensitivity analysis and parameter estimation for the APEX model on runoff, sediments and phosphorus. [Internet] [Doctoral dissertation]. Mississippi State University; 2016. [cited 2021 Feb 27].
Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10262016-184604/ ;.
Council of Science Editors:
Jiang Y. Sensitivity analysis and parameter estimation for the APEX model on runoff, sediments and phosphorus. [Doctoral Dissertation]. Mississippi State University; 2016. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10262016-184604/ ;
Texas A&M University
5.
Hetzler, Adam C.
Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.
Degree: PhD, Nuclear Engineering, 2013, Texas A&M University
URL: http://hdl.handle.net/1969.1/149343
► This research presents new physics-based methods to estimate predictive uncertainty stemming from uncertainty in the material opacities in radiative transfer computations of key quantities of…
(more)
▼ This research presents new physics-based methods to estimate predictive uncertainty stemming from uncertainty in the material opacities in radiative transfer computations of key quantities of interest (QOIs). New methods are needed because it is infeasible to apply standard uncertainty-propagation techniques to the O(105) uncertain opacities in a realistic simulation. The new approach toward uncertainty quantification applies the uncertainty
analysis to the physical parameters in the underlying model used to calculate the opacities. This set of uncertain parameters is much smaller (O(102)) than the number of opacities. To further reduce the dimension of the set of parameters to be rigorously explored, we use additional screening applied at two different levels of the calculational hierarchy: first, physics-based screening eliminates the physical parameters that are unimportant from underlying physics models a priori; then,
sensitivity analysis in simplified versions of the complex problem of interest screens out parameters that are not important to the QOIs. We employ a Bayesian Multivariate Adaptive Regression Spline (BMARS) emulator for this
sensitivity analysis. The high dimension of the input space and large number of samples test the efficacy of these methods on larger problems. Ultimately, we want to perform uncertainty quantification on the large, complex problem with the reduced set of parameters. Results of this research demonstrate that the QOIs for target problems agree at for different parameter screening criteria and varying sample sizes. Since the QOIs agree, we have gained confidence in our results using the multiple screening criteria and sample sizes.
Advisors/Committee Members: Adams, Marvin L (advisor), Mallick, Bani K (committee member), McClarren, Ryan G (committee member), Morel, Jim E (committee member).
Subjects/Keywords: Uncertainty Quantification; Sensitivity Analysis
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APA (6th Edition):
Hetzler, A. C. (2013). Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149343
Chicago Manual of Style (16th Edition):
Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Doctoral Dissertation, Texas A&M University. Accessed February 27, 2021.
http://hdl.handle.net/1969.1/149343.
MLA Handbook (7th Edition):
Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Web. 27 Feb 2021.
Vancouver:
Hetzler AC. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1969.1/149343.
Council of Science Editors:
Hetzler AC. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149343
6.
Fruth, Jana.
New methods for the sensitivity analysis of black-box functions with an application to sheet metal forming.
Degree: 2015, Technische Universität Dortmund
URL: http://dx.doi.org/10.17877/DE290R-7461
► The general field of the thesis is the sensitivity analysis of black-box functions. Sensitivity analysis studies how the variation of the output can be apportioned…
(more)
▼ The general field of the thesis is the
sensitivity analysis of black-box functions.
Sensitivity analysis studies how the variation of the output can be apportioned to the variation of input sources. It is an important tool in the construction,
analysis, and optimization of computer experiments. The total interaction index is presented, which can be used for the screening of interactions. Several variance-based estimation methods are suggested. Their properties are analyzed theoretically as well as on simulations. A further chapter concerns the
sensitivity analysis for models that can take functions as input variables and return a scalar value as output. A very economical sequential approach is presented, which not only discovers the
sensitivity of those functional variables as a whole but identifies relevant regions in the functional domain. As a third concept, support index functions, functions of
sensitivity indices over the input distribution
support, are suggested. Finally, all three methods are successfully applied in the
sensitivity analysis of sheet metal forming models.
Advisors/Committee Members: Kuhnt, Sonja (advisor), Kunert, Joachim (referee), Prieur, Clémentine (referee).
Subjects/Keywords: Computer experiments; Sensitivity analysis; 310
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APA ·
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APA (6th Edition):
Fruth, J. (2015). New methods for the sensitivity analysis of black-box functions with an application to sheet metal forming. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-7461
Chicago Manual of Style (16th Edition):
Fruth, Jana. “New methods for the sensitivity analysis of black-box functions with an application to sheet metal forming.” 2015. Doctoral Dissertation, Technische Universität Dortmund. Accessed February 27, 2021.
http://dx.doi.org/10.17877/DE290R-7461.
MLA Handbook (7th Edition):
Fruth, Jana. “New methods for the sensitivity analysis of black-box functions with an application to sheet metal forming.” 2015. Web. 27 Feb 2021.
Vancouver:
Fruth J. New methods for the sensitivity analysis of black-box functions with an application to sheet metal forming. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2015. [cited 2021 Feb 27].
Available from: http://dx.doi.org/10.17877/DE290R-7461.
Council of Science Editors:
Fruth J. New methods for the sensitivity analysis of black-box functions with an application to sheet metal forming. [Doctoral Dissertation]. Technische Universität Dortmund; 2015. Available from: http://dx.doi.org/10.17877/DE290R-7461
Humboldt State University
7.
Cunningham, Paul.
A sensitivity analysis of an individual-based trout model.
Degree: 2007, Humboldt State University
URL: http://hdl.handle.net/2148/183
► Individual-based models (IBMs) are a relatively new way to perform population modeling of a particular species. In this type of modeling, population level dynamics emerge…
(more)
▼ Individual-based models (IBMs) are a relatively new way to perform population modeling of a particular species. In this type of modeling, population level dynamics emerge as the result of actions of individuals, as members of the population make choices regarding habitat due to influence by environmental factors as well as competition from other members of the species.
There are very few, if any,
sensitivity analyses of individual-based ecological models reported in the literature. This is in part due to the recent advent of this type of modeling, as well as the overall complexity of the models themselves. The intention here is to demonstrate a method of analyzing an IBM so that relevant information is provided to the modeler regarding the strong and weak points of the model in the face of the
uncertainty in parameter values, while consuming a minimum of time and computational resources. In addition, this type of information will be useful to resource managers looking to support management decisions, as it will provide indications of how much confidence can be put into model output because the effects of parameter uncertainty on alternative management actions will be included in the ranking with regards to the efficacy of each proposed action. In this fashion, the model will aid resource managers to better understand the risk of making false predictions.
An individual-based model, inSTREAM v.4.05 (Railsback et al, 2004), was used to model a population of northern California coastal cutthroat trout in Little Jones Creek, a third order tributary of the Smith River in northern California. In this model, trout make daily habitat selection choices to maximize their fitness. The decision rules that govern these choices are influenced by the daily conditions within the modeled stream, various mortality risks, as well as factors concerning respiration, growth and reproduction. The uncertainty in 90 parameters of the model was analyzed.
Effects of parameter uncertainty were investigated in a three-phase process. The
first phase ranked the parameters based on a
sensitivity index which reflected how much the uncertainty in parameter value affected model output. In the second phase, the relative level of higher-order interactions amongst the parameters with the highest
sensitivity index was assessed. The third phase tested the robustness of model output, by varying all of the most sensitive parameters simultaneously, when evaluating proposed alterations to the watershed.
The model was found highly sensitive to some parameters, moderately sensitive to most, and not sensitive at all to a few. Although varying two high-
sensitivity parameters at a time did generally have a non-linear effect on model output, the model was able to reproduce the same population trends under multiple parameter perturbation as it did when only calibrated parameter settings were used.
Advisors/Committee Members: Lamberson, Roland H..
Subjects/Keywords: Sensitivity analysis
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APA (6th Edition):
Cunningham, P. (2007). A sensitivity analysis of an individual-based trout model. (Thesis). Humboldt State University. Retrieved from http://hdl.handle.net/2148/183
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):
Cunningham, Paul. “A sensitivity analysis of an individual-based trout model.” 2007. Thesis, Humboldt State University. Accessed February 27, 2021.
http://hdl.handle.net/2148/183.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Cunningham, Paul. “A sensitivity analysis of an individual-based trout model.” 2007. Web. 27 Feb 2021.
Vancouver:
Cunningham P. A sensitivity analysis of an individual-based trout model. [Internet] [Thesis]. Humboldt State University; 2007. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/2148/183.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Cunningham P. A sensitivity analysis of an individual-based trout model. [Thesis]. Humboldt State University; 2007. Available from: http://hdl.handle.net/2148/183
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of New Mexico
8.
Barboza, David R.
Sensitivity of Distress Rate to Observed Distress Levels.
Degree: Civil Engineering, 2016, University of New Mexico
URL: http://hdl.handle.net/1928/31657
► The New Mexico Department of Transportation (NMDOT) uses a composite pavement condition index to identify and rank roads for budgeting and scheduling repairs. NMDOT uses…
(more)
▼ The New Mexico Department of Transportation (NMDOT) uses a composite pavement condition index to identify and rank roads for budgeting and scheduling repairs. NMDOT uses an index number called the Pavement Serviceability Index or PSI. A key component of this index number is the Distress Rate (DR) which is comprised of pavement distress severities and extents with a weighting factor assigned for each distress. Until 2013, NMDOT conducted pavement evaluations manually and in 2012 revised how pavement distress data were collected and evaluated. The two pavement distress collection procedures that were altered the most were for transverse cracking and alligator cracking. This research evaluates how sensitive the DR is to the revised data collection procedures. The comparison used a single milepost test section and one evaluator as ground truth data and then varied input values for a single item while holding all of the others constant to see what sort of influence the data had on the DR. The results confirmed that the DR has limited
sensitivity due to the data ranges used for input to the composite DR index.
Advisors/Committee Members: Bogus Halter, Susan, Valentin, Vanessa, Zhang, Guohui.
Subjects/Keywords: Manual Pavement Evaluation Sensitivity Analysis
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APA (6th Edition):
Barboza, D. R. (2016). Sensitivity of Distress Rate to Observed Distress Levels. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/31657
Chicago Manual of Style (16th Edition):
Barboza, David R. “Sensitivity of Distress Rate to Observed Distress Levels.” 2016. Masters Thesis, University of New Mexico. Accessed February 27, 2021.
http://hdl.handle.net/1928/31657.
MLA Handbook (7th Edition):
Barboza, David R. “Sensitivity of Distress Rate to Observed Distress Levels.” 2016. Web. 27 Feb 2021.
Vancouver:
Barboza DR. Sensitivity of Distress Rate to Observed Distress Levels. [Internet] [Masters thesis]. University of New Mexico; 2016. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1928/31657.
Council of Science Editors:
Barboza DR. Sensitivity of Distress Rate to Observed Distress Levels. [Masters Thesis]. University of New Mexico; 2016. Available from: http://hdl.handle.net/1928/31657
Virginia Tech
9.
Wei, Shiyi.
Practical Analysis of the Dynamic Characteristics of JavaScript.
Degree: PhD, Computer Science and Applications, 2015, Virginia Tech
URL: http://hdl.handle.net/10919/56697
► JavaScript is a dynamic object-oriented programming language, which is designed with flexible programming mechanisms. JavaScript is widely used in developing sophisticated software systems, especially web…
(more)
▼ JavaScript is a dynamic object-oriented programming language, which is designed with flexible programming mechanisms. JavaScript is widely used in developing sophisticated software systems, especially web applications. Despite of its popularity, there is a lack of software tools that support JavaScript for software engineering clients. Dataflow
analysis approximates software behavior by analyzing the program code; it is the foundation for many software tools. However, several unique features of JavaScript render existing dataflow
analysis techniques ineffective.
Reflective constructs, generating code at runtime, make it difficult to acquire the complete program at compile time. Dynamic typing, resulting in changes in object behavior, poses a challenge for building accurate models of objects. Different functionalities can be observed when a function is variadic; the variance of the function behavior may be caused by the arguments whose values can only be known at runtime. Object constructors may be polymorphic such that objects created by the same constructor may contain different properties. In addition to object-oriented programming, JavaScript supports paradigms of functional and procedural programming; this feature renders dataflow
analysis techniques ineffective when a JavaScript application uses multiple paradigms. Dataflow
analysis needs to handle these challenges.
In this work, we present an
analysis framework and several dataflow analyses that can handle dynamic features in JavaScript. The first contribution of our work is the design and instantiation of the JavaScript Blended
Analysis Framework (JSBAF). This general-purpose and flexible framework judiciously combines dynamic and static analyses. We have implemented an instance of JSBAF, blended taint
analysis, to demonstrate the practicality of the framework.
Our second contribution is an novel context-sensitive points-to
analysis for JavaScript that accurately models object property changes. This algorithm uses a new program representation that enables partial flow-sensitive
analysis, a more accurate object representation, and an expanded points-to graph. We have defined parameterized state
sensitivity (i.e., k-state
sensitivity) and evaluated the effectiveness of 1-state-sensitive
analysis as the static phase of JSBAF.
The third contribution of our work is an adaptive context-sensitive
analysis that selectively applies context-sensitive
analysis on the function level. This two-staged adaptive
analysis extracts function characteristics from an inexpensive points-to
analysis and uses learning-based heuristics to decide on an appropriate context-sensitive
analysis per function. The experimental results show that the adaptive
analysis is more precise than any single context-sensitive
analysis for several programs in the benchmarks, especially for those multi-paradigm programs.
Advisors/Committee Members: Ryder, Barbara Gershon (committeechair), Hendren, Laurie J. (committee member), Kafura, Dennis G. (committee member), Yao, Danfeng (committee member), Tilevich, Eli (committee member).
Subjects/Keywords: Dataflow Analysis; JavaScript; Context Sensitivity
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APA (6th Edition):
Wei, S. (2015). Practical Analysis of the Dynamic Characteristics of JavaScript. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/56697
Chicago Manual of Style (16th Edition):
Wei, Shiyi. “Practical Analysis of the Dynamic Characteristics of JavaScript.” 2015. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021.
http://hdl.handle.net/10919/56697.
MLA Handbook (7th Edition):
Wei, Shiyi. “Practical Analysis of the Dynamic Characteristics of JavaScript.” 2015. Web. 27 Feb 2021.
Vancouver:
Wei S. Practical Analysis of the Dynamic Characteristics of JavaScript. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/10919/56697.
Council of Science Editors:
Wei S. Practical Analysis of the Dynamic Characteristics of JavaScript. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/56697
Virginia Tech
10.
Munster, Drayton William.
Sensitivity Enhanced Model Reduction.
Degree: MS, Mathematics, 2013, Virginia Tech
URL: http://hdl.handle.net/10919/23169
► In this study, we numerically explore methods of coupling sensitivity analysis to the reduced model in order to increase the accuracy of a proper orthogonal…
(more)
▼ In this study, we numerically explore methods of coupling
sensitivity analysis to the reduced model in order to increase the accuracy of a proper orthogonal decomposition (POD) basis across a wider range of parameters. Various techniques based on polynomial interpolation and basis alteration are compared. These techniques are performed on a 1-dimensional reaction-diffusion equation and 2-dimensional incompressible Navier-Stokes equations solved using the finite element method (FEM) as the full scale model. The expanded model formed by expanding the POD basis with the orthonormalized basis
sensitivity vectors achieves the best mixture of accuracy and computational efficiency among the methods compared.
Advisors/Committee Members: Zietsman, Lizette (committeechair), Borggaard, Jeffrey T. (committee member), Gugercin, Serkan (committee member).
Subjects/Keywords: Model Reduction; Sensitivity Analysis
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APA (6th Edition):
Munster, D. W. (2013). Sensitivity Enhanced Model Reduction. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23169
Chicago Manual of Style (16th Edition):
Munster, Drayton William. “Sensitivity Enhanced Model Reduction.” 2013. Masters Thesis, Virginia Tech. Accessed February 27, 2021.
http://hdl.handle.net/10919/23169.
MLA Handbook (7th Edition):
Munster, Drayton William. “Sensitivity Enhanced Model Reduction.” 2013. Web. 27 Feb 2021.
Vancouver:
Munster DW. Sensitivity Enhanced Model Reduction. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/10919/23169.
Council of Science Editors:
Munster DW. Sensitivity Enhanced Model Reduction. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23169
University of Texas – Austin
11.
Strand, James Stephen.
Statistical methods for the analysis of DSMC simulations of hypersonic shocks.
Degree: PhD, Aerospace Engineering, 2012, University of Texas – Austin
URL: http://hdl.handle.net/2152/ETD-UT-2012-05-5384
► In this work, statistical techniques were employed to study the modeling of a hypersonic shock with the Direct Simulation Monte Carlo (DSMC) method, and to…
(more)
▼ In this work, statistical techniques were employed to study the modeling of a hypersonic
shock with the Direct Simulation Monte Carlo (DSMC) method, and to gain insight into how the
model interacts with a set of physical parameters.
Direct Simulation Monte Carlo (DSMC) is a particle based method which is useful for
simulating gas dynamics in rarefied and/or highly non-equilibrium flowfields. A DSMC code
was written and optimized for use in this research. The code was developed with shock tube
simulations in mind, and it includes a number of improvements which allow for the efficient
simulation of 1D, hypersonic shocks. Most importantly, a moving sampling region is used to
obtain an accurate steady shock profile from an unsteady, moving shock wave. The code is MPI
parallel and an adaptive load balancing scheme ensures that the workload is distributed properly
between processors over the course of a simulation.
Global, Monte Carlo based
sensitivity analyses were performed in order to determine
which of the parameters examined in this work most strongly affect the simulation results for
two scenarios: a 0D relaxation from an initial high temperature state and a hypersonic shock.
The 0D relaxation scenario was included in order to examine whether, with appropriate initial
conditions, it can be viewed in some regards as a substitute for the 1D shock in a statistical
sensitivity analysis. In both analyses sensitivities were calculated based on both the square of the
Pearson correlation coefficient and the mutual information. The quantity of interest (QoI)
chosen for these analyses was the NO density profile. This vector QoI was broken into a set of
scalar QoIs, each representing the density of NO at a specific point in time (for the relaxation) or
a specific streamwise location (for the shock), and sensitivities were calculated for each scalar
QoI based on both measures of
sensitivity. The sensitivities were then integrated over the set of
scalar QoIs to determine an overall
sensitivity for each parameter. A weighting function was
used in the integration in order to emphasize sensitivities in the region of greatest thermal and
chemical non-equilibrium. The six parameters which most strongly affect the NO density profile
were found to be the same for both scenarios, which provides justification for the claim that a 0D
relaxation can in some situations be used as a substitute model for a hypersonic shock. These six
parameters are the pre-exponential constants in the Arrhenius rate equations for the N2
dissociation reaction N2 + N ⇄ 3N, the O2 dissociation reaction O2 + O ⇄ 3O, the NO
dissociation reactions NO + N ⇄ 2N + O and NO + O ⇄ N + 2O, and the exchange reactions
N2 + O ⇄ NO + N and NO + O ⇄ O2 + N.
After identification of the most sensitive parameters, a synthetic data calibration was
performed to demonstrate that the statistical inverse problem could be solved for the 0D
relaxation scenario. The calibration was performed using the QUESO code, developed at the
PECOS center at UT…
Advisors/Committee Members: Goldstein, David Benjamin, doctor of aeronautics (advisor), Moser, Robert (committee member), Varghese, Philip (committee member), Ezekoye, Ofodike (committee member), Prudencio, Ernesto (committee member).
Subjects/Keywords: DSMC; MCMC; Sensitivity analysis
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APA (6th Edition):
Strand, J. S. (2012). Statistical methods for the analysis of DSMC simulations of hypersonic shocks. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-5384
Chicago Manual of Style (16th Edition):
Strand, James Stephen. “Statistical methods for the analysis of DSMC simulations of hypersonic shocks.” 2012. Doctoral Dissertation, University of Texas – Austin. Accessed February 27, 2021.
http://hdl.handle.net/2152/ETD-UT-2012-05-5384.
MLA Handbook (7th Edition):
Strand, James Stephen. “Statistical methods for the analysis of DSMC simulations of hypersonic shocks.” 2012. Web. 27 Feb 2021.
Vancouver:
Strand JS. Statistical methods for the analysis of DSMC simulations of hypersonic shocks. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2012. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5384.
Council of Science Editors:
Strand JS. Statistical methods for the analysis of DSMC simulations of hypersonic shocks. [Doctoral Dissertation]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5384
Texas A&M University
12.
Amaya Ramirez, Bibian Helena.
Study of the Influence of the Main Input Parameters on Toxic Consequence Calculation for a Formaldehyde Release.
Degree: MS, Safety Engineering, 2015, Texas A&M University
URL: http://hdl.handle.net/1969.1/155491
► Formaldehyde is widely used in the chemical industries as a raw material for resins, plastics, fertilizers, and polymers as a solvent, and a preservative. Due…
(more)
▼ Formaldehyde is widely used in the chemical industries as a raw material for resins, plastics, fertilizers, and polymers as a solvent, and a preservative. Due to its high reactivity, and acute toxicity, determining the possible consequences of accidental releases of formaldehyde in industries is critical for safety. Despite that, only limited risk
analysis work has been done.
In this work, we simulated the consequences of formaldehyde release for an industrial facility. The simulation were performed for two release scenarios, one of which was the worst-case scenario described in the Risk Management Plan (RMP) regulated by the Environmental Protection Agency (EPA), and the other was defined to account for a more probable situation in the industrial facility. The cloud dispersion of three different mixture of formaldehyde was simulated using PHAST, a software for consequence
analysis. The consequences were assessed for different atmospheric conditions, wind velocities and hole diameters.
The results show that, for the worst- case scenario, the largest downwind and crosswind distance is represented by stability class F and wind velocity 1.5 m/s. The behavior of the formaldehyde cloud confirms the positive influence of wind velocity on diluting effect.
The effect of direct influence of wind velocity and hole diameter were simulated for more probable scenarios. Simulations reveal that high wind velocities generally result in shorter impact distances. Except for the class D, where the wind velocity promotes the mass transfer of the liquid in the pool and the dispersion depends on pool dynamics, the downwind and crosswind distances increase when wind velocities are increased from 1.5m/s to 5m/s.
The
sensitivity analysis for the effect of hole diameter shows that the size of the hole compared to wind and stability class plays a more significant role on the dispersion of the formaldehyde.
Advisors/Committee Members: Mannan, M. Sam (advisor), Kravaris, Costas (committee member), Strzelec, Andrea (committee member).
Subjects/Keywords: Formaldehyde; consequence analysis; toxic material; sensitivity analysis
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APA (6th Edition):
Amaya Ramirez, B. H. (2015). Study of the Influence of the Main Input Parameters on Toxic Consequence Calculation for a Formaldehyde Release. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155491
Chicago Manual of Style (16th Edition):
Amaya Ramirez, Bibian Helena. “Study of the Influence of the Main Input Parameters on Toxic Consequence Calculation for a Formaldehyde Release.” 2015. Masters Thesis, Texas A&M University. Accessed February 27, 2021.
http://hdl.handle.net/1969.1/155491.
MLA Handbook (7th Edition):
Amaya Ramirez, Bibian Helena. “Study of the Influence of the Main Input Parameters on Toxic Consequence Calculation for a Formaldehyde Release.” 2015. Web. 27 Feb 2021.
Vancouver:
Amaya Ramirez BH. Study of the Influence of the Main Input Parameters on Toxic Consequence Calculation for a Formaldehyde Release. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1969.1/155491.
Council of Science Editors:
Amaya Ramirez BH. Study of the Influence of the Main Input Parameters on Toxic Consequence Calculation for a Formaldehyde Release. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155491
Colorado State University
13.
Lammers, Roderick William.
Uncertainty and sensitivity in a bank stability model: implications for estimating phosphorus loading.
Degree: MS(M.S.), Civil and Environmental Engineering, 2015, Colorado State University
URL: http://hdl.handle.net/10217/167090
► Eutrophication of aquatic ecosystems is one of the most pressing water quality concerns in the U.S. and around the world. Bank erosion has been largely…
(more)
▼ Eutrophication of aquatic ecosystems is one of the most pressing water quality concerns in the U.S. and around the world. Bank erosion has been largely overlooked as a source of nutrient loading, despite field studies demonstrating that this source can account for the majority of the total phosphorus budget of a watershed. Substantial effort has been made to develop mechanistic models to predict bank erosion and instability in stream systems; however, these models do not account for inherent natural variability in input values. Providing only single output values with no quantification of associated uncertainty can complicate management decisions focused on reducing bank erosion and nutrient loading to streams. To address this issue, uncertainty and
sensitivity analyses were performed on the Bank Stability and Toe Erosion Model (BSTEM), a mechanistic model developed by the USDA-ARS that simulates both mass wasting (stability) and fluvial erosion of streambanks.
Sensitivity analysis results indicate that variable influence on model output can vary depending on assumed input distributions. Generally, bank height, soil cohesion, and plant species were found to be most influential in determining stability of clay (cohesive) banks. In addition to these three inputs, groundwater elevation, stream stage, and bank angle were also identified as important in sand (non-cohesive) banks. Slope and bank height are the dominant variables in fluvial erosion modeling, while erodibility and critical shear stress are relatively unimportant. However, the threshold effect of critical shear stress (determining whether erosion occurs) was not explicitly accounted for, possibly explaining the relatively low
sensitivity indices for this variable. Model output distributions of sediment and phosphorus loading rates corresponded well to ranges published in the literature, helping validate both model performance and selected ranges of input values. In addition, a probabilistic modeling approach was applied to data from a watershed-scale sediment and phosphorus loading study on the Missisquoi River, Vermont to quantify uncertainty associated with these published results. While our estimates indicated that bank erosion was likely a significant source of sediment and phosphorus to the watershed in question, the uncertainty associated with these predictions indicates that they should probably be considered order of magnitude estimates only.
Advisors/Committee Members: Bledsoe, Brian P. (advisor), Baker, Daniel (committee member), Wohl, Ellen (committee member).
Subjects/Keywords: phosphorus; uncertainty analysis; sensitivity analysis; bank erosion
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APA (6th Edition):
Lammers, R. W. (2015). Uncertainty and sensitivity in a bank stability model: implications for estimating phosphorus loading. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/167090
Chicago Manual of Style (16th Edition):
Lammers, Roderick William. “Uncertainty and sensitivity in a bank stability model: implications for estimating phosphorus loading.” 2015. Masters Thesis, Colorado State University. Accessed February 27, 2021.
http://hdl.handle.net/10217/167090.
MLA Handbook (7th Edition):
Lammers, Roderick William. “Uncertainty and sensitivity in a bank stability model: implications for estimating phosphorus loading.” 2015. Web. 27 Feb 2021.
Vancouver:
Lammers RW. Uncertainty and sensitivity in a bank stability model: implications for estimating phosphorus loading. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/10217/167090.
Council of Science Editors:
Lammers RW. Uncertainty and sensitivity in a bank stability model: implications for estimating phosphorus loading. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167090
University of Colorado
14.
Zhou, Dingyu.
Global Sensitivity and Stochastic Pathway Analysis of Chemical Mechanisms.
Degree: PhD, Chemistry & Biochemistry, 2012, University of Colorado
URL: https://scholar.colorado.edu/chem_gradetds/84
► The use of theoretical kinetic modeling provides an invaluable tool for the study of biofuel blend development and optimization. These models provide a way…
(more)
▼ The use of theoretical kinetic modeling provides an invaluable tool for the study of biofuel blend development and optimization. These models provide a way to simulate complex combustion systems and extract information without the need for costly experimental procedures. Indeed, these models often allow one to treat extreme conditions, such as those found in combustion engines, where in situ experiment is not yet feasible. However, many combustion models have large uncertainties in their rate coefficients and many models have been optimized for just a few specific conditions. Therefore, systematic improvement of biofuel combustion models is often necessary. Since these models are quite large, for example the n-butanol combustion mechanism contains 1446 reactions and 243 species, a brute force improvement all rate constant parameters is practically impossible. My Ph.D. work involved applying a global
sensitivity analysis (GSA) method to combustion models of biofuel components in order to identify and improve the rate constants within the mechanisms that had the largest effect on the target simulation result. Specifically, my main focus was the combustion of n-butanol. GSA revealed that a target simulation result, the ignition time delay, was quite sensitive to self-reaction of the hydroperoxy radical HO2+HO2->H2O2+O2. The empirical rate coefficient for this reaction had a large uncertainty; therefore, high level ab initio calculations and transition state theory were used to calculate a more accurate rate coefficient for this reaction. The second part of my Ph.D. study involved developing an efficient method for determining the pathways taken during a chemical process using a stochastic method that followed ¡§single atoms¡¨. This study was motivated with the intent of extending the GSA method to account not only for the
sensitivity of simulation results to single reactions, but to entire chemical pathways. The method I developed extracts not only reaction flow within the chemical network, but specifies the probabilities of exact chemical pathways.
Advisors/Committee Members: Rex T. Skodje, Robert Parson, Joel Eaves, Veronica Vaida, J. Will Medlin.
Subjects/Keywords: Global Sensitivity Analysis; Stochastic Pathway Analysis; Chemistry
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APA (6th Edition):
Zhou, D. (2012). Global Sensitivity and Stochastic Pathway Analysis of Chemical Mechanisms. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/chem_gradetds/84
Chicago Manual of Style (16th Edition):
Zhou, Dingyu. “Global Sensitivity and Stochastic Pathway Analysis of Chemical Mechanisms.” 2012. Doctoral Dissertation, University of Colorado. Accessed February 27, 2021.
https://scholar.colorado.edu/chem_gradetds/84.
MLA Handbook (7th Edition):
Zhou, Dingyu. “Global Sensitivity and Stochastic Pathway Analysis of Chemical Mechanisms.” 2012. Web. 27 Feb 2021.
Vancouver:
Zhou D. Global Sensitivity and Stochastic Pathway Analysis of Chemical Mechanisms. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2021 Feb 27].
Available from: https://scholar.colorado.edu/chem_gradetds/84.
Council of Science Editors:
Zhou D. Global Sensitivity and Stochastic Pathway Analysis of Chemical Mechanisms. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/chem_gradetds/84
Loughborough University
15.
Wang, Mengchao.
Sensitivity analysis and evolutionary optimization for building design.
Degree: PhD, 2014, Loughborough University
URL: http://hdl.handle.net/2134/16282
► In order to achieve global carbon reduction targets, buildings must be designed to be energy efficient. Building performance simulation methods, together with sensitivity analysis and…
(more)
▼ In order to achieve global carbon reduction targets, buildings must be designed to be energy efficient. Building performance simulation methods, together with sensitivity analysis and evolutionary optimization methods, can be used to generate design solution and performance information that can be used in identifying energy and cost efficient design solutions. Sensitivity analysis is used to identify the design variables that have the greatest impacts on the design objectives and constraints. Multi-objective evolutionary optimization is used to find a Pareto set of design solutions that optimize the conflicting design objectives while satisfying the design constraints; building design being an inherently multi-objective process. For instance, there is commonly a desire to minimise both the building energy demand and capital cost while maintaining thermal comfort. Sensitivity analysis has previously been coupled with a model-based optimization in order to reduce the computational effort of running a robust optimization and in order to provide an insight into the solution sensitivities in the neighbourhood of each optimum solution. However, there has been little research conducted to explore the extent to which the solutions found from a building design optimization can be used for a global or local sensitivity analysis, or the extent to which the local sensitivities differ from the global sensitivities. It has also been common for the sensitivity analysis to be conducted using continuous variables, whereas building optimization problems are more typically formulated using a mixture of discretized-continuous variables (with physical meaning) and categorical variables (without physical meaning). This thesis investigates three main questions; the form of global sensitivity analysis most appropriate for use with problems having mixed discretised-continuous and categorical variables; the extent to which samples taken from an optimization run can be used in a global sensitivity analysis, the optimization process causing these solutions to be biased; and the extent to which global and local sensitivities are different. The experiments conducted in this research are based on the mid-floor of a commercial office building having 5 zones, and which is located in Birmingham, UK. The optimization and sensitivity analysis problems are formulated with 16 design variables, including orientation, heating and cooling setpoints, window-to-wall ratios, start and stop time, and construction types. The design objectives are the minimisation of both energy demand and capital cost, with solution infeasibility being a function of occupant thermal comfort. It is concluded that a robust global sensitivity analysis can be achieved using stepwise regression with the use of bidirectional elimination, rank transformation of the variables and BIC (Bayesian information criterion). It is concluded that, when the optimization is based on a genetic algorithm, that solutions taken from the start of the optimization process can be reliably used in a…
Subjects/Keywords: 690; Sensitivity analysis; Global sensitivity analysis; Stepwise regression analysis; Local sensitivity analysis; Evolutionary optimization; Genetic algorithm; Building design; Building energy demand
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APA ·
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APA (6th Edition):
Wang, M. (2014). Sensitivity analysis and evolutionary optimization for building design. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/16282
Chicago Manual of Style (16th Edition):
Wang, Mengchao. “Sensitivity analysis and evolutionary optimization for building design.” 2014. Doctoral Dissertation, Loughborough University. Accessed February 27, 2021.
http://hdl.handle.net/2134/16282.
MLA Handbook (7th Edition):
Wang, Mengchao. “Sensitivity analysis and evolutionary optimization for building design.” 2014. Web. 27 Feb 2021.
Vancouver:
Wang M. Sensitivity analysis and evolutionary optimization for building design. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/2134/16282.
Council of Science Editors:
Wang M. Sensitivity analysis and evolutionary optimization for building design. [Doctoral Dissertation]. Loughborough University; 2014. Available from: http://hdl.handle.net/2134/16282
Universiteit Utrecht
16.
Meekes, M.
Sensitivity to Evidence in Probabilistic Networks.
Degree: 2013, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/286942
► The probabilistic network framework is an approach to apply probability theory to reasoning with uncertainty in knowledge-based systems. Whereas researchers have studied the properties of…
(more)
▼ The probabilistic network framework is an approach to apply probability theory to reasoning with uncertainty in knowledge-based systems. Whereas researchers have studied the properties of parameter
sensitivity analysis for probabilistic networks to quite some extent, evidence
sensitivity analysis has received far less attention. The aim of my thesis is to present new, fundamental insights on
sensitivity to evidence in probabilistic networks.
Advisors/Committee Members: Gaag, L. C. van der, Renooij, S..
Subjects/Keywords: bayesian networks; probabilistic networks; sensitivity analysis; probabilistic network pruning; evidence sensitivity set; evidence sensitivity function
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APA (6th Edition):
Meekes, M. (2013). Sensitivity to Evidence in Probabilistic Networks. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/286942
Chicago Manual of Style (16th Edition):
Meekes, M. “Sensitivity to Evidence in Probabilistic Networks.” 2013. Masters Thesis, Universiteit Utrecht. Accessed February 27, 2021.
http://dspace.library.uu.nl:8080/handle/1874/286942.
MLA Handbook (7th Edition):
Meekes, M. “Sensitivity to Evidence in Probabilistic Networks.” 2013. Web. 27 Feb 2021.
Vancouver:
Meekes M. Sensitivity to Evidence in Probabilistic Networks. [Internet] [Masters thesis]. Universiteit Utrecht; 2013. [cited 2021 Feb 27].
Available from: http://dspace.library.uu.nl:8080/handle/1874/286942.
Council of Science Editors:
Meekes M. Sensitivity to Evidence in Probabilistic Networks. [Masters Thesis]. Universiteit Utrecht; 2013. Available from: http://dspace.library.uu.nl:8080/handle/1874/286942
Virginia Tech
17.
Nayak, Soumya Sambit.
Continuum Analytical Shape Sensitivity Analysis of 1-D Elastic Bar.
Degree: MS, Mechanical Engineering, 2021, Virginia Tech
URL: http://hdl.handle.net/10919/101764
► When solving an optimization problem, the extreme value of the performance metric of interest is calculated by tuning the values of the design variables. Some…
(more)
▼ When solving an optimization problem, the extreme value of the performance metric of interest is calculated by tuning the values of the design variables. Some optimization problems involve shape change as one of the design variables. Change in shape leads to change in the boundary locations. This leads to a change in the domain definition and the boundary conditions. We consider a 1-D structural element, an elastic bar, for this study. Subsequently, we demonstrate a method for calculating the
sensitivity of solution (e.g. displacement at a point) to change in the shape (length for 1-D case) of the elastic bar. These sensitivities, known as shape sensitivities, are critical for design optimization problems. We make use of continuum analytical shape
sensitivity analysis to derive three variational formulations to compute these shape sensitivities. The accuracy and convergence of solutions is verified using a finite element
analysis code. In future, the approach can be extended to multi-dimensional structural and fluid domain problems.
Advisors/Committee Members: Patil, Mayuresh J. (committeechair), Acar, Pinar (committeechair), Tafti, Danesh K. (committee member).
Subjects/Keywords: Continuum Sensitivity Analysis; CASSA; material sensitivity; local sensitivity; design velocity; variational form; convergence
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APA (6th Edition):
Nayak, S. S. (2021). Continuum Analytical Shape Sensitivity Analysis of 1-D Elastic Bar. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/101764
Chicago Manual of Style (16th Edition):
Nayak, Soumya Sambit. “Continuum Analytical Shape Sensitivity Analysis of 1-D Elastic Bar.” 2021. Masters Thesis, Virginia Tech. Accessed February 27, 2021.
http://hdl.handle.net/10919/101764.
MLA Handbook (7th Edition):
Nayak, Soumya Sambit. “Continuum Analytical Shape Sensitivity Analysis of 1-D Elastic Bar.” 2021. Web. 27 Feb 2021.
Vancouver:
Nayak SS. Continuum Analytical Shape Sensitivity Analysis of 1-D Elastic Bar. [Internet] [Masters thesis]. Virginia Tech; 2021. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/10919/101764.
Council of Science Editors:
Nayak SS. Continuum Analytical Shape Sensitivity Analysis of 1-D Elastic Bar. [Masters Thesis]. Virginia Tech; 2021. Available from: http://hdl.handle.net/10919/101764
East Tennessee State University
18.
Islam, Md Sajedul.
Matrix Dynamic Models for Structured Populations.
Degree: MS, Mathematical Sciences, 2019, East Tennessee State University
URL: https://dc.etsu.edu/etd/3645
► Matrix models are formulated to study the dynamics of the structured populations. We consider closed populations, that is, without migration, and populations with migration.…
(more)
▼ Matrix models are formulated to study the dynamics of the structured populations. We consider closed populations, that is, without migration, and populations with migration. The effects of specific patterns of migration, whether with constant or time-dependent terms, are explored within the context of how they manifest in model output, such as population size. Time functions, commonly known as relative sensitivities, are employed to rank the parameters of the models from most to least influential in the population size or abundance of individuals per group
Subjects/Keywords: matrix model; sensitivity analysis; sensitivity functions.; Dynamical Systems
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APA (6th Edition):
Islam, M. S. (2019). Matrix Dynamic Models for Structured Populations. (Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/3645
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):
Islam, Md Sajedul. “Matrix Dynamic Models for Structured Populations.” 2019. Thesis, East Tennessee State University. Accessed February 27, 2021.
https://dc.etsu.edu/etd/3645.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Islam, Md Sajedul. “Matrix Dynamic Models for Structured Populations.” 2019. Web. 27 Feb 2021.
Vancouver:
Islam MS. Matrix Dynamic Models for Structured Populations. [Internet] [Thesis]. East Tennessee State University; 2019. [cited 2021 Feb 27].
Available from: https://dc.etsu.edu/etd/3645.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Islam MS. Matrix Dynamic Models for Structured Populations. [Thesis]. East Tennessee State University; 2019. Available from: https://dc.etsu.edu/etd/3645
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Vanderbilt University
19.
DeClercq, Joshua Joseph.
Medication Adherence: Definitions, Calculations, and Statistical Modeling Strategies.
Degree: MS, Biostatistics, 2018, Vanderbilt University
URL: http://hdl.handle.net/1803/12733
► Medication non-adherence is a widespread problem and has been known to be associated with worse health outcomes and increased healthcare costs. There have been large…
(more)
▼ Medication non-adherence is a widespread problem and has been known to be associated with worse health outcomes and increased healthcare costs. There have been large efforts to improve adherence by finding effective interventions, but an agreement on a good measure for adherence still has not been established. Although many measures of adherence have been developed, their definitions and calculations are not transparent, nor consistent across studies. Furthermore, statistical methods for analyzing adherence measures have not been rigorously evaluated yet. In this thesis, we present a summary of commonly used adherence measures, discuss the strengths and weaknesses of each, and suggest a framework for the generalization of outcome derivations. We then discuss modeling strategies using common derivations of medication adherence as the outcome. Four different statistical methods are considered: logistic, ordinal, negative binomial regressions, and generalized estimation equation (GEE) methodology. We present a case study using medication adherence data from 653 patients and conduct a
sensitivity analysis across the four models and seven different outcome generating mechanisms. Finally, we conduct simulation studies to evaluate the performance of the four models using different criteria for patient inclusion.
Advisors/Committee Members: Robert Greevy (committee member), Leena Choi (Committee Chair).
Subjects/Keywords: simulation; Regression; medication adherence; sensitivity analysis
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APA (6th Edition):
DeClercq, J. J. (2018). Medication Adherence: Definitions, Calculations, and Statistical Modeling Strategies. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12733
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):
DeClercq, Joshua Joseph. “Medication Adherence: Definitions, Calculations, and Statistical Modeling Strategies.” 2018. Thesis, Vanderbilt University. Accessed February 27, 2021.
http://hdl.handle.net/1803/12733.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
DeClercq, Joshua Joseph. “Medication Adherence: Definitions, Calculations, and Statistical Modeling Strategies.” 2018. Web. 27 Feb 2021.
Vancouver:
DeClercq JJ. Medication Adherence: Definitions, Calculations, and Statistical Modeling Strategies. [Internet] [Thesis]. Vanderbilt University; 2018. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1803/12733.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
DeClercq JJ. Medication Adherence: Definitions, Calculations, and Statistical Modeling Strategies. [Thesis]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/12733
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Texas A&M University
20.
Stripling, Hayes Franklin.
Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.
Degree: PhD, Nuclear Engineering, 2013, Texas A&M University
URL: http://hdl.handle.net/1969.1/151312
► Depletion calculations for nuclear reactors model the dynamic coupling between the material composition and neutron flux and help predict reactor performance and safety characteristics. In…
(more)
▼ Depletion calculations for nuclear reactors model the dynamic coupling between the material composition and neutron flux and help predict reactor performance and safety characteristics. In order to be trusted as reliable predictive tools and inputs to licensing and operational decisions, the simulations must include an accurate and holistic quantification of errors and uncertainties in its outputs. Uncertainty quantification is a formidable challenge in large, realistic reactor models because of the large number of unknowns and myriad sources of uncertainty and error.
We present a framework for performing efficient uncertainty quantification in depletion problems using an adjoint approach, with emphasis on high-fidelity calculations using advanced massively parallel computing architectures. This approach calls for a solution to two systems of equations: (a) the forward, engineering system that models the reactor, and (b) the adjoint system, which is mathematically related to but different from the forward system. We use the solutions of these systems to produce
sensitivity and error estimates at a cost that does not grow rapidly with the number of uncertain inputs. We present the framework in a general fashion and apply it to both the source-driven and k-eigenvalue forms of the depletion equations. We describe the implementation and verification of solvers for the forward and ad- joint equations in the PDT code, and we test the algorithms on realistic reactor
analysis problems. We demonstrate a new approach for reducing the memory and I/O demands on the host machine, which can be overwhelming for typical adjoint algorithms. Our conclusion is that adjoint depletion calculations using full transport solutions are not only computationally tractable, they are the most attractive option for performing uncertainty quantification on high-fidelity reactor
analysis problems.
Advisors/Committee Members: Adams, Marvin L. (advisor), Mallick, Bani K. (committee member), McClarren, Ryan G. (committee member), Morel, Jim E. (committee member), Anitescu, Mihai (committee member).
Subjects/Keywords: Adjoint; Sensitivity Analysis; Uncertainty Quantification; Depletion Calculations
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APA (6th Edition):
Stripling, H. F. (2013). Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151312
Chicago Manual of Style (16th Edition):
Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Doctoral Dissertation, Texas A&M University. Accessed February 27, 2021.
http://hdl.handle.net/1969.1/151312.
MLA Handbook (7th Edition):
Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Web. 27 Feb 2021.
Vancouver:
Stripling HF. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1969.1/151312.
Council of Science Editors:
Stripling HF. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151312
Penn State University
21.
Kelleher, Christa Ann.
Interpreting hydrologic behavior in headwater streams using comparative hydrology.
Degree: 2013, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/18807
► Headwater streams are the smallest streams within the river network, but cumulatively represent a large portion of stream length across the United States. While they…
(more)
▼ Headwater streams are the smallest streams within the river network, but cumulatively represent a large portion of stream length across the United States. While they are abundant, headwater streams are typically unmonitored. As such, little is known about how they will be impacted by climate and land use change. It is widely regarded that environmental change, representing the combined effects of changing land use and climate, is currently altering many natural processes in landscapes across the globe, and is expected to have significant impacts in headwater streams. There is an urgent need to understand the
sensitivity of headwater streams to change, as well as the physical mechanisms that control this change and how they vary across differences in climate, vegetation, geology, and topography. Comparative hydrology, one such approach, describes similarities and differences in catchment behavior in terms of the evolution and current status of physical setting. In this dissertation, we use comparisons across a range of spatial and temporal scales to understand what physical characteristics, represented by model parameters, most influence model-predicted hydrologic behavior. In our first study, we apply this framework to understand how dominant processes relate to physical setting for the one-dimensional transport with inflow and storage (OTIS) model, a transient storage model which is used to characterize streams in terms of parameter values. We show that not all parameters, representative of stream processes across a given reach, may be able to be used in this characterization for all streams. Additionally, we show that which parameters are sensitive, and therefore viable to be used for stream reach characterization, varies with physical setting across a single stream. In our second and third studies, we use comparisons between headwater catchments to understand how soil and vegetation properties influence variability in hydrologic behavior.
Sensitivity analysis is used in conjunction with a distributed, physically-based watershed model, used to simulate hydrologic behavior. In the second study, we compare similarities and differences in controls on behavior for five adjacent headwater catchments located in central Montana. Similar catchment characteristics and properties control this behavior at similar times across all of the basins. Differences in parameter controls and our ability to explain this behavior are attributed to variability in vegetation and geologic influence via a fault that runs through the basin. In our last study, we compare controls on behavior for four headwater catchments located in different climates across the United States. We show variable seasonality for periods when important parameters are sensitive across different water balance components. Vegetation characteristics are an important control on evapotranspiration and snow water equivalent across all basins and streamflow for drier basins. Soil characteristics largely governed variance in streamflow, though which…
Advisors/Committee Members: Thorsten Wagener, Dissertation Advisor/Co-Advisor, Michael Gooseff, Committee Member, Peggy Ann Johnson, Committee Member, Christopher J Duffy, Committee Member, Raymond Gabriel Najjar Jr., Committee Member.
Subjects/Keywords: hydrology; headwater streams; sensitivity analysis; watersheds
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APA (6th Edition):
Kelleher, C. A. (2013). Interpreting hydrologic behavior in headwater streams using comparative hydrology. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18807
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):
Kelleher, Christa Ann. “Interpreting hydrologic behavior in headwater streams using comparative hydrology.” 2013. Thesis, Penn State University. Accessed February 27, 2021.
https://submit-etda.libraries.psu.edu/catalog/18807.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kelleher, Christa Ann. “Interpreting hydrologic behavior in headwater streams using comparative hydrology.” 2013. Web. 27 Feb 2021.
Vancouver:
Kelleher CA. Interpreting hydrologic behavior in headwater streams using comparative hydrology. [Internet] [Thesis]. Penn State University; 2013. [cited 2021 Feb 27].
Available from: https://submit-etda.libraries.psu.edu/catalog/18807.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kelleher CA. Interpreting hydrologic behavior in headwater streams using comparative hydrology. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18807
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Penn State University
22.
Herman, Jonathan D.
Time-varying sensitivity analysis reveals impacts of watershed model choice on the inference of dominant processes.
Degree: 2012, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/13742
► Lumped rainfall-runoff models are widely used for flow prediction, but a long-recognized need exists for diagnostic tools to identify appropriate model structures for a given…
(more)
▼ Lumped rainfall-runoff models are widely used for flow prediction, but a long-recognized need exists for diagnostic tools to identify appropriate model structures for a given application based on the dominant processes they are meant to represent. To this end, we develop a comprehensive exploration of dominant processes in the Hymod, HBV, and Sacramento Soil Moisture Accounting (SAC-SMA) model structures. Model controls are isolated using time-varying Sobol′
sensitivity analysis for twelve MOPEX watersheds in the eastern United States over a ten-year period.
Sensitivity indices are visualized along gradients of observed precipitation and flow characteristics to determine behavioral consistency between the three models. Results indicate that the models’ dominant processes strongly depend on time varying hydroclimatic conditions. Parameters associated with surface processes such as evapotranspiration and runoff generally dominate under dry conditions, since high evaporative fluxes and small contributions from fast runoff are required for the models to properly simulate low flow conditions. Parameters associated with routing processes typically dominate under high flow conditions, when performance depends on the timing of flow events, even though these parameters might be associated with subsurface processes. Additionally, the models exhibit very different dominant processes relative to one another due to their contrasting mathematical formulations. These results emphasize the importance of scrutinizing how the formulation of a model shapes the scientific inferences drawn its behavior, particularly in applications such as predictions under change where the ability to infer dominant processes from a model is crucial.
Advisors/Committee Members: Patrick M Reed, Thesis Advisor/Co-Advisor, Thorsten Wagener, Thesis Advisor/Co-Advisor, Michael Gooseff, Thesis Advisor/Co-Advisor.
Subjects/Keywords: rainfall-runoff modeling; sensitivity analysis; hydrology
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APA (6th Edition):
Herman, J. D. (2012). Time-varying sensitivity analysis reveals impacts of watershed model choice on the inference of dominant processes. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13742
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):
Herman, Jonathan D. “Time-varying sensitivity analysis reveals impacts of watershed model choice on the inference of dominant processes.” 2012. Thesis, Penn State University. Accessed February 27, 2021.
https://submit-etda.libraries.psu.edu/catalog/13742.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Herman, Jonathan D. “Time-varying sensitivity analysis reveals impacts of watershed model choice on the inference of dominant processes.” 2012. Web. 27 Feb 2021.
Vancouver:
Herman JD. Time-varying sensitivity analysis reveals impacts of watershed model choice on the inference of dominant processes. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Feb 27].
Available from: https://submit-etda.libraries.psu.edu/catalog/13742.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Herman JD. Time-varying sensitivity analysis reveals impacts of watershed model choice on the inference of dominant processes. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/13742
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
McMaster University
23.
Mostofian, Sara.
FICST: A Tool for Sensitivity Analysis of SCWR Fuel Isotopic Composition to Nuclear Data.
Degree: MASc, 2014, McMaster University
URL: http://hdl.handle.net/11375/16028
► With an ever-increasing population both in Canada and globally, an improved quality of life will depend on having access to energy. The non-renewable, carbon-based, sources…
(more)
▼ With an ever-increasing population both in Canada and globally, an improved quality of life will depend on having access to energy. The non-renewable, carbon-based, sources of energy that presently provide a major amount of the world's energy supply are depleting and therefore will be expensive in the future. Nuclear technology is a relatively new technology which can fulfill future energy needs but requires highly specialized skills and knowledge to continue to make it safer, cleaner, more reliable, and more affordable. Thus the nuclear industry puts lots of efforts to develop and improve the next generation of nuclear power plants. The Supercritical Water Reactors (SCWRs) are one of the Generation IV nuclear-reactor systems.
The SCWRs, to a large extent, are very similar to light water reactors, but with a simpler design. The main advantage of SCWRs is their higher thermal efficiency. The Canadian SCWR has adopted an innovative fuel concept which is a mixture of plutonium and thorium oxides (Th, Pu) O2.
The role of nuclear data in fuel development and reactor-physics analysis is quite significant. With the development of nuclear data files over the years, nuclear cross sections and other parameters are widely available, but their accuracy is still a concern. Also the accuracy of nuclear data is more reliable for uranium-based fuels than for thorium-based fuels. It is not known how the uncertainties in the nuclear data will impact the fuel depletion in a SCWR. Thus a sensitivity analysis tool has been developed to evaluate the impact of uncertainties in the neutron cross-sections of the actinides present in SCWR fuel. This document provides the details on the theory and methodology used to develop this tool (FICST). The objective of this work is to develop a code, not any specific calculation done with it.
Thesis
Master of Applied Science (MASc)
Advisors/Committee Members: Buijs, Adriaan, Engineering Physics and Nuclear Engineering.
Subjects/Keywords: Tool for Sensitivity Analysis of SCWR
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APA (6th Edition):
Mostofian, S. (2014). FICST: A Tool for Sensitivity Analysis of SCWR Fuel Isotopic Composition to Nuclear Data. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/16028
Chicago Manual of Style (16th Edition):
Mostofian, Sara. “FICST: A Tool for Sensitivity Analysis of SCWR Fuel Isotopic Composition to Nuclear Data.” 2014. Masters Thesis, McMaster University. Accessed February 27, 2021.
http://hdl.handle.net/11375/16028.
MLA Handbook (7th Edition):
Mostofian, Sara. “FICST: A Tool for Sensitivity Analysis of SCWR Fuel Isotopic Composition to Nuclear Data.” 2014. Web. 27 Feb 2021.
Vancouver:
Mostofian S. FICST: A Tool for Sensitivity Analysis of SCWR Fuel Isotopic Composition to Nuclear Data. [Internet] [Masters thesis]. McMaster University; 2014. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/11375/16028.
Council of Science Editors:
Mostofian S. FICST: A Tool for Sensitivity Analysis of SCWR Fuel Isotopic Composition to Nuclear Data. [Masters Thesis]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/16028
Queens University
24.
Dougherty, Sean.
Sensitivity Analysis of Models with Input Codependencies
.
Degree: Chemical Engineering, 2013, Queens University
URL: http://hdl.handle.net/1974/8508
► Assuming a set of variates are independent and normally distributed is commonplace in statistics. In this thesis, we consider the consequences of these assumptions as…
(more)
▼ Assuming a set of variates are independent and normally distributed is commonplace in statistics. In this thesis, we consider the consequences of these assumptions as they pertain to global sensitivity analysis. We begin by illustrating how the notion of sensitivity becomes distorted in the presence of codependent model inputs. This observation motivates us to develop a new methodology which accommodates for input codependencies. Our methodology can be summarized through three points: First, a new form of sensitivity is presented which performs as well as the classical form but can be obtained at a fraction of the computational cost. Second, we define a measure which quantifies the extent of distortion caused by codependent inputs. The third point is regarding the modelling of said codependencies. The multivariate normal distribution is a natural choice for modelling codependent inputs; however, our methodology uses a copula-based approach instead. Copulas are a contemporary strategy for constructing multivariate distributions whereby the marginal and joint behaviours are treated separately. As a result, a practitioner has more flexibility when modelling inputs.
Subjects/Keywords: Global Sensitivity Analysis
;
Copulas
;
Dependent Random Variables
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APA ·
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Export
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Manager
APA (6th Edition):
Dougherty, S. (2013). Sensitivity Analysis of Models with Input Codependencies
. (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/8508
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):
Dougherty, Sean. “Sensitivity Analysis of Models with Input Codependencies
.” 2013. Thesis, Queens University. Accessed February 27, 2021.
http://hdl.handle.net/1974/8508.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Dougherty, Sean. “Sensitivity Analysis of Models with Input Codependencies
.” 2013. Web. 27 Feb 2021.
Vancouver:
Dougherty S. Sensitivity Analysis of Models with Input Codependencies
. [Internet] [Thesis]. Queens University; 2013. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1974/8508.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Dougherty S. Sensitivity Analysis of Models with Input Codependencies
. [Thesis]. Queens University; 2013. Available from: http://hdl.handle.net/1974/8508
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Addis Ababa University
25.
Jalele, Geletu.
Optimization of Hydropower Plant Expansion
.
Degree: 2008, Addis Ababa University
URL: http://etd.aau.edu.et/dspace/handle/123456789/4246
► This research is of a sequencing expansion problem in which capacity can be added only at discrete points in time. There is a forecast of…
(more)
▼ This research is of a sequencing expansion problem in which capacity can be added only at
discrete points in time. There is a forecast of demand in each period, and five expansion
projects each with a given capacity and cost.
Dynamic programming is used to determine the sequence of expansions necessary to provide
sufficient capacity to meet the demand in all periods at minimum discounted cost. The
alternative scenarios are represented with a tree structure.
This research also provides preliminary results for a discounted cash flow as well as a
dynamic programming solution.
Advisors/Committee Members: Dr. Zelalem Hailu, (advisor).
Subjects/Keywords: Capacity expansion;
dynamic programming;
sensitivity analysis
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Manager
APA (6th Edition):
Jalele, G. (2008). Optimization of Hydropower Plant Expansion
. (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/4246
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):
Jalele, Geletu. “Optimization of Hydropower Plant Expansion
.” 2008. Thesis, Addis Ababa University. Accessed February 27, 2021.
http://etd.aau.edu.et/dspace/handle/123456789/4246.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Jalele, Geletu. “Optimization of Hydropower Plant Expansion
.” 2008. Web. 27 Feb 2021.
Vancouver:
Jalele G. Optimization of Hydropower Plant Expansion
. [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2021 Feb 27].
Available from: http://etd.aau.edu.et/dspace/handle/123456789/4246.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Jalele G. Optimization of Hydropower Plant Expansion
. [Thesis]. Addis Ababa University; 2008. Available from: http://etd.aau.edu.et/dspace/handle/123456789/4246
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
26.
Gerzen, Nikolai.
Analysis and applications of variational sensitivity information in structural optimisation.
Degree: 2014, Technische Universität Dortmund
URL: http://dx.doi.org/10.17877/DE290R-919
► This thesis is concerned with the analysis of the internal structure of sensitivities of engineering structures with respect to modifications in shape. The term internal…
(more)
▼ This thesis is concerned with the
analysis of the internal structure of sensitivities of engineering structures with respect to modifications in shape. The term internal structure of
sensitivity is introduced as an abbreviation for the eigenvalues and singular values, the corresponding eigenvalue spectrum and singular value spectrum as well as for the associated eigenvectors and singular vectors of the
sensitivity matrix, the pseudo load matrix and the mesh velocity matrix, which build up the central parts of the
sensitivity analysis. These matrices are analysed both qualitatively and quantitatively utilising the singular value decomposition (SVD) and techniques which are based on the principle component
analysis (PCA). The impact of the chosen models on the computed optimal designs, especially the influence of the chosen shape parametrisation, is analysed. This knowledge enables the design engineer to understand and improve the models
systematically whereas they are usually set up entirely by engineering experience and intuition. The weaknesses of the models are detected and improved design descriptions are proposed. This human controlled process is called design exploration. The aim of this thesis is to contribute new substantial capabilities to the corresponding methods. Moreover, an algorithmic and automatic treatment of SVD based
sensitivity information is presented within this thesis for different kinds of application. In context of model reduction, the complete design space is reduced to the most valuable subspace of design modifications in order to demonstrate the information content of the decomposed sensitivities. Illustrative examples show that reasonable optimal designs can be obtained with a small percentage of properly defined design variables. In addition, the area of application for SVD based
sensitivity information is extended to the nonlinear buckling
analysis. Here, decomposition of the pseudo
load matrix is utilised to generate the `worst case' imperfections. The generic concept is applied to shape optimisation of shell structures. The design of such structures is extremely important for their stability, robustness and load-bearing capacity. The variational design
sensitivity analysis for a nonlinear solid shell is performed and especially the pseudo load matrix and the
sensitivity matrix are derived. Within the scope of this thesis, only static nonlinear structural
analysis and hyperelastic material behaviour are considered.
Advisors/Committee Members: Barthold, Franz-Joseph (advisor), Bletzinger, Kai-Uwe (referee).
Subjects/Keywords: Structural optimisation; Sensitivity analysis; Shell structures; 690
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Gerzen, N. (2014). Analysis and applications of variational sensitivity information in structural optimisation. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-919
Chicago Manual of Style (16th Edition):
Gerzen, Nikolai. “Analysis and applications of variational sensitivity information in structural optimisation.” 2014. Doctoral Dissertation, Technische Universität Dortmund. Accessed February 27, 2021.
http://dx.doi.org/10.17877/DE290R-919.
MLA Handbook (7th Edition):
Gerzen, Nikolai. “Analysis and applications of variational sensitivity information in structural optimisation.” 2014. Web. 27 Feb 2021.
Vancouver:
Gerzen N. Analysis and applications of variational sensitivity information in structural optimisation. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2014. [cited 2021 Feb 27].
Available from: http://dx.doi.org/10.17877/DE290R-919.
Council of Science Editors:
Gerzen N. Analysis and applications of variational sensitivity information in structural optimisation. [Doctoral Dissertation]. Technische Universität Dortmund; 2014. Available from: http://dx.doi.org/10.17877/DE290R-919
University of Toronto
27.
Aydonat, Meric.
Power Grid Correction Using Sensitivity Analysis.
Degree: 2010, University of Toronto
URL: http://hdl.handle.net/1807/25415
► Power grid voltage integrity verification requires checking if all the voltage drops on the grid are less than a certain threshold that guarantees proper circuit…
(more)
▼ Power grid voltage integrity verification requires checking if all the voltage drops on
the grid are less than a certain threshold that guarantees proper circuit operation.
This thesis addresses the problem of correcting the grid when some voltage drops
exceed this threshold by making minor modifications to the existing design. The
method uses current constraints that capture the uncertainty about the underlying
circuit behavior to find the maximum voltage drop on the grid, and then to estimate
the voltage drop as a function of the metal widths on the grid. It formulates a nonlinear
optimization problem and finds the required change in widths that reduces the
maximum voltage drop on the grid below the threshold while keeping the total area
cost at a minimum.
MAST
Advisors/Committee Members: Najm, Farid N., Electrical and Computer Engineering.
Subjects/Keywords: Sensitivity analysis; Linear programming; Power grid; 0544
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APA (6th Edition):
Aydonat, M. (2010). Power Grid Correction Using Sensitivity Analysis. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/25415
Chicago Manual of Style (16th Edition):
Aydonat, Meric. “Power Grid Correction Using Sensitivity Analysis.” 2010. Masters Thesis, University of Toronto. Accessed February 27, 2021.
http://hdl.handle.net/1807/25415.
MLA Handbook (7th Edition):
Aydonat, Meric. “Power Grid Correction Using Sensitivity Analysis.” 2010. Web. 27 Feb 2021.
Vancouver:
Aydonat M. Power Grid Correction Using Sensitivity Analysis. [Internet] [Masters thesis]. University of Toronto; 2010. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1807/25415.
Council of Science Editors:
Aydonat M. Power Grid Correction Using Sensitivity Analysis. [Masters Thesis]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/25415
University of Manitoba
28.
Semnani, Mohammad.
Sensitivity-based guided automatic calibration of hydrological models.
Degree: Civil Engineering, 2019, University of Manitoba
URL: http://hdl.handle.net/1993/34013
► A new method for efficient calibration of complex hydrological models that combines Dynamically Dimensioned Search (DDS) global optimization algorithm with Global Sensitivity Analysis (GSA) methods…
(more)
▼ A new method for efficient calibration of complex hydrological models that combines Dynamically Dimensioned Search (DDS) global optimization algorithm with Global
Sensitivity Analysis (GSA) methods is introduced. This approach, which is called
sensitivity-informed DDS, utilizes
sensitivity indices to increase the probability of perturbation for the most sensitive parameters, while giving low chance to least sensitive ones. This feature improves the efficiency and effectiveness of optimization by finding good quality solutions in a shorter time. Three different implementations of
sensitivity-informed DDS are considered. The first approach is named as GSA↔DDS, in which GSA toolboxes (Morris or Sobol) are performed initially and throughout the optimization process to constantly update the
sensitivity information. The second approach is called GSA→DDS. In this method, the GSA methods are only performed initially to include the results of GSA within optimization process. The final implementation is called VARS→DDS. In this method, to enhance the efficiency of
sensitivity analysis and optimization, VARS toolbox is performed outside the optimization to provide the
sensitivity information. The performances of GSA↔DDS, GSA→DDS and VARS→DDS are compared with original DDS by solving various optimization problems (test functions and model calibration case studies). According to the results, when calibrating complex hydrological models with enough computational budget, VARS→DDS is significantly more efficient and effective than original DDS. However, the results also show that GSA→DDS and GSA↔DDS methods do not substantially improve the convergence rate and the final best solution compared to DDS. Thus, VARS→DDS is the recommended approach for
sensitivity-informed DDS in calibration of distributed and semi-distributed models, when enough computational resources are available.
Advisors/Committee Members: Asadzadeh, Masoud (Civil Engineering) (supervisor), Stadnyk, Tricia (Civil Engineering).
Subjects/Keywords: Sensitivity Analysis; Single Objective Optimization; Model Calibration
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APA (6th Edition):
Semnani, M. (2019). Sensitivity-based guided automatic calibration of hydrological models. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34013
Chicago Manual of Style (16th Edition):
Semnani, Mohammad. “Sensitivity-based guided automatic calibration of hydrological models.” 2019. Masters Thesis, University of Manitoba. Accessed February 27, 2021.
http://hdl.handle.net/1993/34013.
MLA Handbook (7th Edition):
Semnani, Mohammad. “Sensitivity-based guided automatic calibration of hydrological models.” 2019. Web. 27 Feb 2021.
Vancouver:
Semnani M. Sensitivity-based guided automatic calibration of hydrological models. [Internet] [Masters thesis]. University of Manitoba; 2019. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1993/34013.
Council of Science Editors:
Semnani M. Sensitivity-based guided automatic calibration of hydrological models. [Masters Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34013
University of Edinburgh
29.
Locatelli, Tommaso.
Developing and testing a model of wind damage risk for forest plantations in South-West Europe.
Degree: PhD, 2016, University of Edinburgh
URL: http://hdl.handle.net/1842/20386
► Wind is the main abiotic cause of disturbance to forests in large parts of the world, particularly at temperate and boreal latitudes. In the past…
(more)
▼ Wind is the main abiotic cause of disturbance to forests in large parts of the world, particularly at temperate and boreal latitudes. In the past few decades the consequences of large wind-induced losses have been experienced at various levels, from small forest owners to large-scale, whole-society level. This is particularly relevant for areas, such as Europe, where forests are intensively managed, and the assets exposed to wind hazard are substantial. To better manage forests and commercial tree plantations to reduce the risk of wind damage, process-based, semi-mechanistic mathematical models such as ForestGALES are used. This model has been parameterised and evaluated for numerous conifer species, which constitute the major plantation types in temperate and boreal biomes. However, the geographical extent and economic importance of fast-growing broadleaved species, such as those of the Eucalyptus genus, and the lack of detailed historical data on wind damage to these species, require that tools for the estimation of the risk of wind damage to these species are developed and evaluated. This is particularly relevant in light of the projected increases of surface temperature due to climate change, and of the frequency and severity of extreme windstorms, that are expected as a consequence of climate change. Fieldwork was conducted in a semi-natural Eucalyptus globulus (Labill.) forest in the Asturias region in Northern Spain to acquire data for the parameterisation of ForestGALES for E. globulus, using a tree-pulling experiment. The behaviour of the parameterisation was investigated for different stocking densities to evaluate whether the effects of tree height, stocking density, and presence of a fresh upwind gap are consistent with the literature. This parameterisation was then used to compare the vulnerability to wind damage between E. globulus and Pinus pinaster (Ait.), the predominant plantation species in the Aquitaine region of SW France where extensive damage was experienced from storms Martin (1999) and Klaus (2009). The effects of rooting depth (2x), growth rate (2x), presence/absence of a recently created windward gap, and of the predominant wind climate in Aquitaine were investigated in this comparison. In order to aid forest managers with optimal resource allocation for practical applications of ForestGALES, and to provide forest modellers with invaluable insights for the development of robust wind damage risk models, ForestGALES was subjected to a sensitivity analysis. A generalisation of the variance-based method of Sobol’ for the case of correlated variables was used to investigate the sensitivity of the outputs of ForestGALES (the critical wind speeds for stem breakage and uprooting, and the associated probabilities of damage) to variation in its input variables. Almost all the E. globulus trees pulled in Asturias failed by overturning rather than breakage, which allowed for good confidence in the calculations of the overturning moments required for the empirical component of ForestGALES. Resistance to…
Subjects/Keywords: 634.9; wind risk; ForestGALES; sensitivity analysis; Eucalyptus
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APA (6th Edition):
Locatelli, T. (2016). Developing and testing a model of wind damage risk for forest plantations in South-West Europe. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/20386
Chicago Manual of Style (16th Edition):
Locatelli, Tommaso. “Developing and testing a model of wind damage risk for forest plantations in South-West Europe.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed February 27, 2021.
http://hdl.handle.net/1842/20386.
MLA Handbook (7th Edition):
Locatelli, Tommaso. “Developing and testing a model of wind damage risk for forest plantations in South-West Europe.” 2016. Web. 27 Feb 2021.
Vancouver:
Locatelli T. Developing and testing a model of wind damage risk for forest plantations in South-West Europe. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1842/20386.
Council of Science Editors:
Locatelli T. Developing and testing a model of wind damage risk for forest plantations in South-West Europe. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/20386
30.
Rubio Monzó, María.
Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain.
Degree: 2015, Universitat Politècnica de València
URL: http://hdl.handle.net/10251/55844
► [EN] The present Ph.D. Thesis considers epidemiological mathematical models based on ordinary differential equations and shows its application to understand the cocaine consumption epidemic in…
(more)
▼ [EN] The present Ph.D. Thesis considers epidemiological mathematical models based on ordinary differential equations and shows its application to understand the cocaine consumption epidemic in Spain. Three mathematical models are presented to predict the evolution of the epidemic in the near future in order to select the model that best reflects the data. By the results obtained for the selected model, if there are not changes in cocaine consumption policies or in the economic environment, the cocaine consumption will increase in Spain over the next few years. Furthermore, we use different techniques to estimate 95% confidence intervals and, consequently, quantify the uncertainty in the predictions. In addition, using several techniques, we conducted a model
sensitivity analysis to determine which parameters are those that most influence the cocaine consumption in Spain. These
analysis reveal that prevention actions on cocaine consumer population can be the most effective strategy to control this trend.; [ES] La presente Tesis considera modelos matemáticos epidemiológicos basados en ecuaciones diferenciales ordinarias y muestra su aplicación para entender la epidemia del consumo de cocaína en España. Se presentan tres modelos matemáticos para predecir la evolución de dicha epidemia en un futuro próximo, con el objetivo de seleccionar el modelo que mejor refleja los datos. Por los resultados obtenidos para el modelo seleccionado, si no hay cambios en las políticas del consumo de cocaína ni en el ámbito económico, el consumo de cocaína aumentará en los próximos años. Además, utilizamos diferentes técnicas para estimar los intervalos de confianza al 95% y, de esta forma, cuantificar la incertidumbre en las predicciones. Finalmente, utilizando diferentes técnicas, hemos realizado un análisis de sensibilidad para determinar qué parámetros son los que más influyen en el consumo de cocaína. Estos análisis revelan que las acciones de prevención sobre la población de consumidores de cocaína pueden ser la estrategia más efectiva para controlar esta tendencia.; [CAT] La present Tesi considera models matemàtics epidemiològics basats en equacions diferencials ordinàries i mostra la seua aplicació per a entendre l'epidèmia del consum de cocaïna en Espanya. Es presenten tres models matemàtics per a predir l'evolució d'aquesta epidèmia en un futur pròxim, amb l'objectiu de seleccionar el model que millor reflecteix les dades. Pels resultats obtinguts per al model seleccionat, si no hi ha canvis en les polítiques de consum de cocaïna ni en l'àmbit econòmic, el consum de cocaïna augmentarà en els pròxims anys. A més, utilitzem diferents tècniques per a estimar els intervals de confiança al 95% i, d'aquesta manera, quantificar la incertesa en les prediccions. Finalment, utilitzant diferents tècniques, hem realitzat un anàlisi de sensibilitat per a determinar quins paràmetres són els que més influencien el consum de cocaïna. Aquestos anàlisis revelen que les accions de prevenció en la població de consumidors de cocaïna poden ser…
Advisors/Committee Members: Santonja Gómez, Francisco José (advisor), Villanueva Micó, Rafael Jacinto (advisor).
Subjects/Keywords: Uncertainty quantification;
Mathematical epidemiological models;
Sensitivity analysis
Record Details
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Rubio Monzó, M. (2015). Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain.
(Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/55844
Chicago Manual of Style (16th Edition):
Rubio Monzó, María. “Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain.
” 2015. Doctoral Dissertation, Universitat Politècnica de València. Accessed February 27, 2021.
http://hdl.handle.net/10251/55844.
MLA Handbook (7th Edition):
Rubio Monzó, María. “Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain.
” 2015. Web. 27 Feb 2021.
Vancouver:
Rubio Monzó M. Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain.
[Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2015. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/10251/55844.
Council of Science Editors:
Rubio Monzó M. Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain.
[Doctoral Dissertation]. Universitat Politècnica de València; 2015. Available from: http://hdl.handle.net/10251/55844
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Open Access Theses and Dissertations
