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Dept: Mechanical Engineering

You searched for subject:(Statistical modeling). Showing records 1 – 10 of 10 total matches.

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University of Illinois – Urbana-Champaign

1. Mashayak, Sikandar Y. A multiscale framework for structure of confined water and electrolytes.

Degree: PhD, Mechanical Engineering, 2017, University of Illinois – Urbana-Champaign

 Nanoconfined water and aqueous solutions play a prominent role in nature and technological applications. Understanding molecular origins of the properties of aqueous interfaces is critical… (more)

Subjects/Keywords: Nanofluidics; Multiscale modeling; Liquid state theories; Coarse-graining; Molecular simulations; Continuum modeling; Statistical thermodynamics; Confined water; Electrolytes; Electric double layers; Charge inversion

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mashayak, S. Y. (2017). A multiscale framework for structure of confined water and electrolytes. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99373

Chicago Manual of Style (16th Edition):

Mashayak, Sikandar Y. “A multiscale framework for structure of confined water and electrolytes.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 21, 2019. http://hdl.handle.net/2142/99373.

MLA Handbook (7th Edition):

Mashayak, Sikandar Y. “A multiscale framework for structure of confined water and electrolytes.” 2017. Web. 21 Oct 2019.

Vancouver:

Mashayak SY. A multiscale framework for structure of confined water and electrolytes. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2142/99373.

Council of Science Editors:

Mashayak SY. A multiscale framework for structure of confined water and electrolytes. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99373


Georgia Tech

2. Swinson, Michael D. Statistical Modeling of High-Dimensional Nonlinear Systems: A Projection Pursuit Solution.

Degree: PhD, Mechanical Engineering, 2005, Georgia Tech

 Despite recent advances in statistics, artificial neural network theory, and machine learning, nonlinear function estimation in high-dimensional space remains a nontrivial problem. As the response… (more)

Subjects/Keywords: Prediction; Statistical modeling; Function approximation; High-dimensional modeling; Regression; Modeling; PPLM; PPLN; Projection pursuit; Data mining; Nonlinear systems Statistical methods; Approximation theory; Mathematical optimization

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APA (6th Edition):

Swinson, M. D. (2005). Statistical Modeling of High-Dimensional Nonlinear Systems: A Projection Pursuit Solution. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7554

Chicago Manual of Style (16th Edition):

Swinson, Michael D. “Statistical Modeling of High-Dimensional Nonlinear Systems: A Projection Pursuit Solution.” 2005. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2019. http://hdl.handle.net/1853/7554.

MLA Handbook (7th Edition):

Swinson, Michael D. “Statistical Modeling of High-Dimensional Nonlinear Systems: A Projection Pursuit Solution.” 2005. Web. 21 Oct 2019.

Vancouver:

Swinson MD. Statistical Modeling of High-Dimensional Nonlinear Systems: A Projection Pursuit Solution. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1853/7554.

Council of Science Editors:

Swinson MD. Statistical Modeling of High-Dimensional Nonlinear Systems: A Projection Pursuit Solution. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7554


Penn State University

3. Zhang, Huan. A DETERMINISTIC-STATISTICAL MODEL FOR TRIBO-CONTACTS IN BOUNDARY LUBRICATION WITH LUBRICANT/SURFACE PHYSICOCHEMISTRY.

Degree: PhD, Mechanical Engineering, 2004, Penn State University

 The boundary-lubricated surface contact is truly an interdisciplinary process involving deformation, heat transfer, physicochemical interaction, and random-process probability. The objective of this thesis is to… (more)

Subjects/Keywords: Boundary Lubrication; Contact Mechanics; Physicochemistry; Statistical Surface Model; Frictional Modeling

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APA (6th Edition):

Zhang, H. (2004). A DETERMINISTIC-STATISTICAL MODEL FOR TRIBO-CONTACTS IN BOUNDARY LUBRICATION WITH LUBRICANT/SURFACE PHYSICOCHEMISTRY. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/6484

Chicago Manual of Style (16th Edition):

Zhang, Huan. “A DETERMINISTIC-STATISTICAL MODEL FOR TRIBO-CONTACTS IN BOUNDARY LUBRICATION WITH LUBRICANT/SURFACE PHYSICOCHEMISTRY.” 2004. Doctoral Dissertation, Penn State University. Accessed October 21, 2019. https://etda.libraries.psu.edu/catalog/6484.

MLA Handbook (7th Edition):

Zhang, Huan. “A DETERMINISTIC-STATISTICAL MODEL FOR TRIBO-CONTACTS IN BOUNDARY LUBRICATION WITH LUBRICANT/SURFACE PHYSICOCHEMISTRY.” 2004. Web. 21 Oct 2019.

Vancouver:

Zhang H. A DETERMINISTIC-STATISTICAL MODEL FOR TRIBO-CONTACTS IN BOUNDARY LUBRICATION WITH LUBRICANT/SURFACE PHYSICOCHEMISTRY. [Internet] [Doctoral dissertation]. Penn State University; 2004. [cited 2019 Oct 21]. Available from: https://etda.libraries.psu.edu/catalog/6484.

Council of Science Editors:

Zhang H. A DETERMINISTIC-STATISTICAL MODEL FOR TRIBO-CONTACTS IN BOUNDARY LUBRICATION WITH LUBRICANT/SURFACE PHYSICOCHEMISTRY. [Doctoral Dissertation]. Penn State University; 2004. Available from: https://etda.libraries.psu.edu/catalog/6484


Clemson University

4. Chen, Qinglin. INVESTIGATION OF THE EFFECTS OF SUBGRID-SCALE TURBULENCE ON RESOLVABLE-SCALE STATISTICS.

Degree: PhD, Mechanical Engineering, 2006, Clemson University

 The effects of the subgrid-scale (SGS) turbulence on the resolvable-scale statistics and the effects of SGS models on large-eddy simulation (LES) are studied. It is… (more)

Subjects/Keywords: turbulence; large-eddy simulation; subgrid-scale modeling; atmospheric boundary layer; statistical a priori test; statistical a posteriori test; Engineering Mechanics

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APA (6th Edition):

Chen, Q. (2006). INVESTIGATION OF THE EFFECTS OF SUBGRID-SCALE TURBULENCE ON RESOLVABLE-SCALE STATISTICS. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/9

Chicago Manual of Style (16th Edition):

Chen, Qinglin. “INVESTIGATION OF THE EFFECTS OF SUBGRID-SCALE TURBULENCE ON RESOLVABLE-SCALE STATISTICS.” 2006. Doctoral Dissertation, Clemson University. Accessed October 21, 2019. https://tigerprints.clemson.edu/all_dissertations/9.

MLA Handbook (7th Edition):

Chen, Qinglin. “INVESTIGATION OF THE EFFECTS OF SUBGRID-SCALE TURBULENCE ON RESOLVABLE-SCALE STATISTICS.” 2006. Web. 21 Oct 2019.

Vancouver:

Chen Q. INVESTIGATION OF THE EFFECTS OF SUBGRID-SCALE TURBULENCE ON RESOLVABLE-SCALE STATISTICS. [Internet] [Doctoral dissertation]. Clemson University; 2006. [cited 2019 Oct 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/9.

Council of Science Editors:

Chen Q. INVESTIGATION OF THE EFFECTS OF SUBGRID-SCALE TURBULENCE ON RESOLVABLE-SCALE STATISTICS. [Doctoral Dissertation]. Clemson University; 2006. Available from: https://tigerprints.clemson.edu/all_dissertations/9


University of Florida

5. Leung, Michael, 1966-. Prediction of thermal contact conductance by statistical mechanics.

Degree: PhD, Mechanical Engineering, 1995, University of Florida

Subjects/Keywords: Contact loads; Contact resistance; Elasticity; Electrical contacts; Heat transfer; Modeling; Stainless steels; Statistical mechanics; Statistical models; Vacuum

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APA (6th Edition):

Leung, Michael, 1. (1995). Prediction of thermal contact conductance by statistical mechanics. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00040376

Chicago Manual of Style (16th Edition):

Leung, Michael, 1966-. “Prediction of thermal contact conductance by statistical mechanics.” 1995. Doctoral Dissertation, University of Florida. Accessed October 21, 2019. http://ufdc.ufl.edu/AA00040376.

MLA Handbook (7th Edition):

Leung, Michael, 1966-. “Prediction of thermal contact conductance by statistical mechanics.” 1995. Web. 21 Oct 2019.

Vancouver:

Leung, Michael 1. Prediction of thermal contact conductance by statistical mechanics. [Internet] [Doctoral dissertation]. University of Florida; 1995. [cited 2019 Oct 21]. Available from: http://ufdc.ufl.edu/AA00040376.

Council of Science Editors:

Leung, Michael 1. Prediction of thermal contact conductance by statistical mechanics. [Doctoral Dissertation]. University of Florida; 1995. Available from: http://ufdc.ufl.edu/AA00040376


Virginia Tech

6. Allen, David W. Software for Manipulating and Embedding Data Interrogation Algorithms Into Integrated Systems.

Degree: MS, Mechanical Engineering, 2004, Virginia Tech

 In this study a software package for easily creating and embedding structural health monitoring (SHM) data interrogation processes in remote hardware is presented. The software… (more)

Subjects/Keywords: Extreme Value Statistics; Integrated Systems; Data Interrogation; Structural Health Monitoring; Embedded Systems; JAVA Software; Time Series Modeling; Process Development; Statistical Discrimination

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APA (6th Edition):

Allen, D. W. (2004). Software for Manipulating and Embedding Data Interrogation Algorithms Into Integrated Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35117

Chicago Manual of Style (16th Edition):

Allen, David W. “Software for Manipulating and Embedding Data Interrogation Algorithms Into Integrated Systems.” 2004. Masters Thesis, Virginia Tech. Accessed October 21, 2019. http://hdl.handle.net/10919/35117.

MLA Handbook (7th Edition):

Allen, David W. “Software for Manipulating and Embedding Data Interrogation Algorithms Into Integrated Systems.” 2004. Web. 21 Oct 2019.

Vancouver:

Allen DW. Software for Manipulating and Embedding Data Interrogation Algorithms Into Integrated Systems. [Internet] [Masters thesis]. Virginia Tech; 2004. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10919/35117.

Council of Science Editors:

Allen DW. Software for Manipulating and Embedding Data Interrogation Algorithms Into Integrated Systems. [Masters Thesis]. Virginia Tech; 2004. Available from: http://hdl.handle.net/10919/35117

7. Zhang, Jinjun. Multiscale Modeling of Heterogeneous Material Systems.

Degree: Mechanical Engineering, 2014, Arizona State University

Subjects/Keywords: Mechanical engineering; Materials Science; Damage Criterion; Damage Estimation; Material Characterization; Multiscale Modeling; Statistical

…125 ii CHAPTER 5. Page MULTISCALE MODELING OF SELF-SENSING POLYMER USING STATISTICAL… …1 1.1. 1.2. Background of Multiscale Modeling for Metallic Material… …2 1.3. Background of Multiscale Modeling for Self-Sensing Polymer Material . 10 1.4… …1 MATERIAL CHARACTERIZATION AND MULTISCALE MODELING OF ALUMINUM ALLOY 2024-T351… …98 4.2.2 Statistical Crosslinking Degree in MD Simulation… 

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APA (6th Edition):

Zhang, J. (2014). Multiscale Modeling of Heterogeneous Material Systems. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/25921

Chicago Manual of Style (16th Edition):

Zhang, Jinjun. “Multiscale Modeling of Heterogeneous Material Systems.” 2014. Doctoral Dissertation, Arizona State University. Accessed October 21, 2019. http://repository.asu.edu/items/25921.

MLA Handbook (7th Edition):

Zhang, Jinjun. “Multiscale Modeling of Heterogeneous Material Systems.” 2014. Web. 21 Oct 2019.

Vancouver:

Zhang J. Multiscale Modeling of Heterogeneous Material Systems. [Internet] [Doctoral dissertation]. Arizona State University; 2014. [cited 2019 Oct 21]. Available from: http://repository.asu.edu/items/25921.

Council of Science Editors:

Zhang J. Multiscale Modeling of Heterogeneous Material Systems. [Doctoral Dissertation]. Arizona State University; 2014. Available from: http://repository.asu.edu/items/25921

8. Moore, Roxanne Adele. Value-based global optimization.

Degree: PhD, Mechanical Engineering, 2012, Georgia Tech

 Computational models and simulations are essential system design tools that allow for improved decision making and cost reductions during all phases of the design process.… (more)

Subjects/Keywords: Engineering design; Global optimization; Variable-fidelity modeling; Kriging; Engineering design; Multidisciplinary design optimization; Mathematical optimization; Value analysis (Cost control); Statistical decision

…14 Figure 2.1: Kriging Modeling Overview… …accurate determination of the best alternative with reasonable costs incurred, surrogate modeling… …and variable accuracy modeling are used widely. A surrogate model is a mathematically… …while variable accuracy modeling involves a collection of different models of the same system… …modeling method that accommodates data from any number of analysis models with different… 

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APA (6th Edition):

Moore, R. A. (2012). Value-based global optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44750

Chicago Manual of Style (16th Edition):

Moore, Roxanne Adele. “Value-based global optimization.” 2012. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2019. http://hdl.handle.net/1853/44750.

MLA Handbook (7th Edition):

Moore, Roxanne Adele. “Value-based global optimization.” 2012. Web. 21 Oct 2019.

Vancouver:

Moore RA. Value-based global optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1853/44750.

Council of Science Editors:

Moore RA. Value-based global optimization. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44750

9. Crnkic, Edin. Geometry guided phase transition pathway and stable structure search for crystals.

Degree: MS, Mechanical Engineering, 2012, Georgia Tech

 Recently a periodic surface model was developed to assist geometric construction in computer-aided nano-design. This implicit surface model helps create super-porous nano structures parametrically and… (more)

Subjects/Keywords: Phase transition; Implicit modeling; Computer-aided nano design; Global optimization; Nanomanufacturing; Nanomaterials; Nanocrystals; Simulated annealing (Mathematics); Mathematical optimization; Phase transformations (Statistical physics)

…mathematical predictions. Since the advent of the computer and computer modeling, however, an… …modeling of materials and material behavior under various conditions. Techniques like the finite… …focus on material modeling on micro- and nano-scales, which can be used to gain a deeper… …modeling and simulation at these small scales have proven to be quite difficult. In this thesis… …the focus is on nano-scale modeling of crystal structures, as well as the simulation of the… 

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APA (6th Edition):

Crnkic, E. (2012). Geometry guided phase transition pathway and stable structure search for crystals. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44760

Chicago Manual of Style (16th Edition):

Crnkic, Edin. “Geometry guided phase transition pathway and stable structure search for crystals.” 2012. Masters Thesis, Georgia Tech. Accessed October 21, 2019. http://hdl.handle.net/1853/44760.

MLA Handbook (7th Edition):

Crnkic, Edin. “Geometry guided phase transition pathway and stable structure search for crystals.” 2012. Web. 21 Oct 2019.

Vancouver:

Crnkic E. Geometry guided phase transition pathway and stable structure search for crystals. [Internet] [Masters thesis]. Georgia Tech; 2012. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1853/44760.

Council of Science Editors:

Crnkic E. Geometry guided phase transition pathway and stable structure search for crystals. [Masters Thesis]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44760

10. Aminzadeh, Masoumeh. A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing.

Degree: PhD, Mechanical Engineering, 2016, Georgia Tech

 In-situ inspection of geometric accuracy and porosity in metal powder-bed additive manufacturing (AM) using visual camera images was proposed and addressed. For the first time,… (more)

Subjects/Keywords: Additive manufacturing; Quality inspection and control; Machine vision; Bayesian; Defect detection and identification; Statistical modeling; Image processing; Visual camera; Metal powder-bed fusion; Laser powder-bed fusion; Selective laser melting; Automated defect detection; Automated visual inspection; Geometry inspection; Porosity inspection

…a statistical Bayesian framework is developed and trained based on specific features… 

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APA (6th Edition):

Aminzadeh, M. (2016). A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56291

Chicago Manual of Style (16th Edition):

Aminzadeh, Masoumeh. “A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing.” 2016. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2019. http://hdl.handle.net/1853/56291.

MLA Handbook (7th Edition):

Aminzadeh, Masoumeh. “A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing.” 2016. Web. 21 Oct 2019.

Vancouver:

Aminzadeh M. A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1853/56291.

Council of Science Editors:

Aminzadeh M. A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56291

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