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You searched for +publisher:"Vanderbilt University" +contributor:("Sankaran Mahadevan"). Showing records 1 – 30 of 62 total matches.

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Vanderbilt University

1. McLemore, Kyle Scott. Test campaign design for model uncertainty reduction.

Degree: MS, Civil Engineering, 2012, Vanderbilt University

 Testing or performing inspections to gain information and reduce uncertainty is a necessary activity during the life-cycle of any engineering system. This study develops analytical… (more)

Subjects/Keywords: calibration; resource allocation; test design; testing; Bayesian networks; multi-disciplinary analysis

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APA (6th Edition):

McLemore, K. S. (2012). Test campaign design for model uncertainty reduction. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11407

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):

McLemore, Kyle Scott. “Test campaign design for model uncertainty reduction.” 2012. Thesis, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/11407.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

McLemore, Kyle Scott. “Test campaign design for model uncertainty reduction.” 2012. Web. 11 Apr 2021.

Vancouver:

McLemore KS. Test campaign design for model uncertainty reduction. [Internet] [Thesis]. Vanderbilt University; 2012. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/11407.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McLemore KS. Test campaign design for model uncertainty reduction. [Thesis]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/11407

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

2. Wolfe, Kevin Adam. Multi-Axial Fatigue Crack Growth Uncertainty Quantification and Risk Management.

Degree: MS, Civil Engineering, 2012, Vanderbilt University

 The modeling and risk management of fatigue crack growth is a problem of critical importance in any mechanical system. The work presented in this study… (more)

Subjects/Keywords: inspection planning; calibration; validation; fatigue; fracture; crack growth modeling; surrogate model

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APA (6th Edition):

Wolfe, K. A. (2012). Multi-Axial Fatigue Crack Growth Uncertainty Quantification and Risk Management. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14053

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):

Wolfe, Kevin Adam. “Multi-Axial Fatigue Crack Growth Uncertainty Quantification and Risk Management.” 2012. Thesis, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/14053.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wolfe, Kevin Adam. “Multi-Axial Fatigue Crack Growth Uncertainty Quantification and Risk Management.” 2012. Web. 11 Apr 2021.

Vancouver:

Wolfe KA. Multi-Axial Fatigue Crack Growth Uncertainty Quantification and Risk Management. [Internet] [Thesis]. Vanderbilt University; 2012. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/14053.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wolfe KA. Multi-Axial Fatigue Crack Growth Uncertainty Quantification and Risk Management. [Thesis]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/14053

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

3. Sparks, Paul Anthony. Reduced order homogenization models for failure of heterogeneous materials.

Degree: PhD, Civil Engineering, 2015, Vanderbilt University

 This dissertation presents a reduced order multiscale computational model for simulating failure and damage propagation in brittle composite materials. The model builds on the eigendeformation-based… (more)

Subjects/Keywords: overlapping failure paths; `zero mode impotent eigenstrains; genetic algorithm; multiscale modeling; heterogeneous materials; reduced order modeling

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APA (6th Edition):

Sparks, P. A. (2015). Reduced order homogenization models for failure of heterogeneous materials. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10955

Chicago Manual of Style (16th Edition):

Sparks, Paul Anthony. “Reduced order homogenization models for failure of heterogeneous materials.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/10955.

MLA Handbook (7th Edition):

Sparks, Paul Anthony. “Reduced order homogenization models for failure of heterogeneous materials.” 2015. Web. 11 Apr 2021.

Vancouver:

Sparks PA. Reduced order homogenization models for failure of heterogeneous materials. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/10955.

Council of Science Editors:

Sparks PA. Reduced order homogenization models for failure of heterogeneous materials. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/10955


Vanderbilt University

4. Retherford, Jennifer Queen. Management of Uncertainty for Flexible Pavement Design Utilizing Analytical and Probabilistic Methods.

Degree: PhD, Civil Engineering, 2012, Vanderbilt University

 This dissertation develops a systematic and comprehensive approach to management of uncertainty by accomplishing four major objectives: address model uncertainty for the permanent deformation model,… (more)

Subjects/Keywords: flexible pavement design; reliability analysis

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APA (6th Edition):

Retherford, J. Q. (2012). Management of Uncertainty for Flexible Pavement Design Utilizing Analytical and Probabilistic Methods. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13173

Chicago Manual of Style (16th Edition):

Retherford, Jennifer Queen. “Management of Uncertainty for Flexible Pavement Design Utilizing Analytical and Probabilistic Methods.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/13173.

MLA Handbook (7th Edition):

Retherford, Jennifer Queen. “Management of Uncertainty for Flexible Pavement Design Utilizing Analytical and Probabilistic Methods.” 2012. Web. 11 Apr 2021.

Vancouver:

Retherford JQ. Management of Uncertainty for Flexible Pavement Design Utilizing Analytical and Probabilistic Methods. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/13173.

Council of Science Editors:

Retherford JQ. Management of Uncertainty for Flexible Pavement Design Utilizing Analytical and Probabilistic Methods. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/13173


Vanderbilt University

5. Nordendale, Nikolas Andrew. Modeling and Simulation of Brittle Armors Under Impact and Blast Effects.

Degree: PhD, Civil Engineering, 2013, Vanderbilt University

 One of the defense related research programs of recent interest is focused on developing ultra-high strength concrete (UHSC) mixtures and lightweight, rapidly deployable protective structures.… (more)

Subjects/Keywords: dynamic; finite element analysis; blast; impact; concrete; modeling

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APA (6th Edition):

Nordendale, N. A. (2013). Modeling and Simulation of Brittle Armors Under Impact and Blast Effects. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13893

Chicago Manual of Style (16th Edition):

Nordendale, Nikolas Andrew. “Modeling and Simulation of Brittle Armors Under Impact and Blast Effects.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/13893.

MLA Handbook (7th Edition):

Nordendale, Nikolas Andrew. “Modeling and Simulation of Brittle Armors Under Impact and Blast Effects.” 2013. Web. 11 Apr 2021.

Vancouver:

Nordendale NA. Modeling and Simulation of Brittle Armors Under Impact and Blast Effects. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/13893.

Council of Science Editors:

Nordendale NA. Modeling and Simulation of Brittle Armors Under Impact and Blast Effects. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/13893


Vanderbilt University

6. Nath, Paromita. Uncertainty Quantification and Management in Additive Manufacturing.

Degree: PhD, Civil Engineering, 2020, Vanderbilt University

 Additive manufacturing (AM) has shown immense potential in several industries. However, significant variability in the product quality currently hinders widespread use of AM. The focus… (more)

Subjects/Keywords: Uncertainty quantification; Additive manufacturing; Surrogate modeling; Process design optimization; Process control; Finite element modeling

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APA (6th Edition):

Nath, P. (2020). Uncertainty Quantification and Management in Additive Manufacturing. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15357

Chicago Manual of Style (16th Edition):

Nath, Paromita. “Uncertainty Quantification and Management in Additive Manufacturing.” 2020. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/15357.

MLA Handbook (7th Edition):

Nath, Paromita. “Uncertainty Quantification and Management in Additive Manufacturing.” 2020. Web. 11 Apr 2021.

Vancouver:

Nath P. Uncertainty Quantification and Management in Additive Manufacturing. [Internet] [Doctoral dissertation]. Vanderbilt University; 2020. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/15357.

Council of Science Editors:

Nath P. Uncertainty Quantification and Management in Additive Manufacturing. [Doctoral Dissertation]. Vanderbilt University; 2020. Available from: http://hdl.handle.net/1803/15357


Vanderbilt University

7. Crouch, Robert Doyle. Multiscale Modeling of Brittle Composites Using Reduced Order Computational Homogenization.

Degree: PhD, Civil Engineering, 2012, Vanderbilt University

 This dissertation presents a novel multiscale computational framework for simulating failure and damage accumulation in brittle composites. A reduced-order multiple spatial scale methodology is developed… (more)

Subjects/Keywords: life prediction; fatigue; damage mechanics; composite materials; multiscale modeling

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APA (6th Edition):

Crouch, R. D. (2012). Multiscale Modeling of Brittle Composites Using Reduced Order Computational Homogenization. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13883

Chicago Manual of Style (16th Edition):

Crouch, Robert Doyle. “Multiscale Modeling of Brittle Composites Using Reduced Order Computational Homogenization.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/13883.

MLA Handbook (7th Edition):

Crouch, Robert Doyle. “Multiscale Modeling of Brittle Composites Using Reduced Order Computational Homogenization.” 2012. Web. 11 Apr 2021.

Vancouver:

Crouch RD. Multiscale Modeling of Brittle Composites Using Reduced Order Computational Homogenization. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/13883.

Council of Science Editors:

Crouch RD. Multiscale Modeling of Brittle Composites Using Reduced Order Computational Homogenization. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/13883


Vanderbilt University

8. Sura, Venkata Sasidhar. Failure modeling and life prediction of railroad wheels.

Degree: PhD, Civil Engineering, 2011, Vanderbilt University

 This dissertation develops a general methodology for probabilistic prediction of railroad wheel failure life considering uncertainties from several possible sources. The two most dominant failure… (more)

Subjects/Keywords: Railroad wheel; Failure life; Shattered rim; Vertical split rim; Fatigue and Fracture; Residual stresses

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APA (6th Edition):

Sura, V. S. (2011). Failure modeling and life prediction of railroad wheels. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15026

Chicago Manual of Style (16th Edition):

Sura, Venkata Sasidhar. “Failure modeling and life prediction of railroad wheels.” 2011. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/15026.

MLA Handbook (7th Edition):

Sura, Venkata Sasidhar. “Failure modeling and life prediction of railroad wheels.” 2011. Web. 11 Apr 2021.

Vancouver:

Sura VS. Failure modeling and life prediction of railroad wheels. [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/15026.

Council of Science Editors:

Sura VS. Failure modeling and life prediction of railroad wheels. [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://hdl.handle.net/1803/15026


Vanderbilt University

9. Absi, Ghina Nakad. Multi-Fidelity Information Fusion for Structural Dynamics Model Calibration.

Degree: PhD, Civil Engineering, 2019, Vanderbilt University

 This dissertation develops a novel approach for fusing information from physics models of different levels of fidelity in the Bayesian estimation of system parameters. In… (more)

Subjects/Keywords: Multi-Fidelity; Information Fusion; Hypersonic Vehicles; Dynamics Models; Bayesian Calibration

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APA (6th Edition):

Absi, G. N. (2019). Multi-Fidelity Information Fusion for Structural Dynamics Model Calibration. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11373

Chicago Manual of Style (16th Edition):

Absi, Ghina Nakad. “Multi-Fidelity Information Fusion for Structural Dynamics Model Calibration.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/11373.

MLA Handbook (7th Edition):

Absi, Ghina Nakad. “Multi-Fidelity Information Fusion for Structural Dynamics Model Calibration.” 2019. Web. 11 Apr 2021.

Vancouver:

Absi GN. Multi-Fidelity Information Fusion for Structural Dynamics Model Calibration. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/11373.

Council of Science Editors:

Absi GN. Multi-Fidelity Information Fusion for Structural Dynamics Model Calibration. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/11373


Vanderbilt University

10. Yapar, Ozgur. AE Based Health Monitoring and Bonded FRP Patch Repair in Bridge Management.

Degree: PhD, Civil Engineering, 2015, Vanderbilt University

 For effective bridge management, monitoring its health and repairing the detected damages efficiently are essential. The first part of this study uses acoustic emission (AE)… (more)

Subjects/Keywords: Finite Element Method; Damage Assessment; Non-destructive Testing; Acoustic Emission; Nonlinear Analysis; Plastic Damage

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APA (6th Edition):

Yapar, O. (2015). AE Based Health Monitoring and Bonded FRP Patch Repair in Bridge Management. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10595

Chicago Manual of Style (16th Edition):

Yapar, Ozgur. “AE Based Health Monitoring and Bonded FRP Patch Repair in Bridge Management.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/10595.

MLA Handbook (7th Edition):

Yapar, Ozgur. “AE Based Health Monitoring and Bonded FRP Patch Repair in Bridge Management.” 2015. Web. 11 Apr 2021.

Vancouver:

Yapar O. AE Based Health Monitoring and Bonded FRP Patch Repair in Bridge Management. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/10595.

Council of Science Editors:

Yapar O. AE Based Health Monitoring and Bonded FRP Patch Repair in Bridge Management. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/10595


Vanderbilt University

11. Cheney, Austin Carter. Organizational impacts of participation in industry-level collective action (technology roadmaps).

Degree: PhD, Interdisciplinary Studies: Management of Technology, 2011, Vanderbilt University

 This research investigates the organizational and collective impacts of participation in industry technology roadmap (ITR) development; further, characteristics of the roadmapping collective make-up and processes… (more)

Subjects/Keywords: motivation; clockspeed; stakeholder; collective; roadmapping; roadmap

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APA (6th Edition):

Cheney, A. C. (2011). Organizational impacts of participation in industry-level collective action (technology roadmaps). (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14915

Chicago Manual of Style (16th Edition):

Cheney, Austin Carter. “Organizational impacts of participation in industry-level collective action (technology roadmaps).” 2011. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/14915.

MLA Handbook (7th Edition):

Cheney, Austin Carter. “Organizational impacts of participation in industry-level collective action (technology roadmaps).” 2011. Web. 11 Apr 2021.

Vancouver:

Cheney AC. Organizational impacts of participation in industry-level collective action (technology roadmaps). [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/14915.

Council of Science Editors:

Cheney AC. Organizational impacts of participation in industry-level collective action (technology roadmaps). [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://hdl.handle.net/1803/14915


Vanderbilt University

12. Bartram, Gregory Walsh. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.

Degree: PhD, Civil Engineering, 2013, Vanderbilt University

 This dissertation develops a methodology that provides information to make optimal decisions with respect to the mission and maintenance of a system. A great amount… (more)

Subjects/Keywords: dynamic bayesian network; diagnosis; prognosis; decision making; particle filtering

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APA (6th Edition):

Bartram, G. W. (2013). System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13757

Chicago Manual of Style (16th Edition):

Bartram, Gregory Walsh. “System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/13757.

MLA Handbook (7th Edition):

Bartram, Gregory Walsh. “System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.” 2013. Web. 11 Apr 2021.

Vancouver:

Bartram GW. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/13757.

Council of Science Editors:

Bartram GW. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/13757


Vanderbilt University

13. DeCarlo, Erin Camille. Uncertainty Quantification and Confidence Assessment in Time-Dependent, Multidisciplinary Simulations.

Degree: PhD, Civil Engineering, 2017, Vanderbilt University

 Multidisciplinary simulations are often assembled based on limited data and approximate individual and partial-physics model components. Methodologies are proposed to address the following three challenges… (more)

Subjects/Keywords: model reliability; multidisciplinary; global sensitivity analysis; inverse problems; uncertainty quantification; Bayesian methods

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APA (6th Edition):

DeCarlo, E. C. (2017). Uncertainty Quantification and Confidence Assessment in Time-Dependent, Multidisciplinary Simulations. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13351

Chicago Manual of Style (16th Edition):

DeCarlo, Erin Camille. “Uncertainty Quantification and Confidence Assessment in Time-Dependent, Multidisciplinary Simulations.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/13351.

MLA Handbook (7th Edition):

DeCarlo, Erin Camille. “Uncertainty Quantification and Confidence Assessment in Time-Dependent, Multidisciplinary Simulations.” 2017. Web. 11 Apr 2021.

Vancouver:

DeCarlo EC. Uncertainty Quantification and Confidence Assessment in Time-Dependent, Multidisciplinary Simulations. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/13351.

Council of Science Editors:

DeCarlo EC. Uncertainty Quantification and Confidence Assessment in Time-Dependent, Multidisciplinary Simulations. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/13351


Vanderbilt University

14. Hui, Tong. Multiscale modeling of the dynamic response of composite structures.

Degree: PhD, Civil Engineering, 2014, Vanderbilt University

 This research proposes a computational framework of the dynamic response of composite structures based on the mathematical homogenization theory with multiple spatial scales. The computational… (more)

Subjects/Keywords: Laplace transform; finite element analysis; homogenization; multiscale; phononic bands; wave propagation

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APA (6th Edition):

Hui, T. (2014). Multiscale modeling of the dynamic response of composite structures. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12788

Chicago Manual of Style (16th Edition):

Hui, Tong. “Multiscale modeling of the dynamic response of composite structures.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/12788.

MLA Handbook (7th Edition):

Hui, Tong. “Multiscale modeling of the dynamic response of composite structures.” 2014. Web. 11 Apr 2021.

Vancouver:

Hui T. Multiscale modeling of the dynamic response of composite structures. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/12788.

Council of Science Editors:

Hui T. Multiscale modeling of the dynamic response of composite structures. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/12788


Vanderbilt University

15. Sankararaman, Shankar. Uncertainty Quantification and Integration in Engineering Systems.

Degree: PhD, Civil Engineering, 2012, Vanderbilt University

 A comprehensive framework for the treatment of uncertainty is essential to facilitate decision-making in engineering systems at every stage of the life cycle, such as… (more)

Subjects/Keywords: model uncertainty; data uncertainty; verification and validation; model calibration; Bayesian networks; inverse problems; sensitivity analysis

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APA (6th Edition):

Sankararaman, S. (2012). Uncertainty Quantification and Integration in Engineering Systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10567

Chicago Manual of Style (16th Edition):

Sankararaman, Shankar. “Uncertainty Quantification and Integration in Engineering Systems.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/10567.

MLA Handbook (7th Edition):

Sankararaman, Shankar. “Uncertainty Quantification and Integration in Engineering Systems.” 2012. Web. 11 Apr 2021.

Vancouver:

Sankararaman S. Uncertainty Quantification and Integration in Engineering Systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/10567.

Council of Science Editors:

Sankararaman S. Uncertainty Quantification and Integration in Engineering Systems. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/10567


Vanderbilt University

16. Noreiga, Quentin Carlyle. Game Theoretic Multidisciplinary Optimization Methods for System-of-Systems Analysis.

Degree: PhD, Interdisciplinary Studies: Systems Engineering and Operations Research, 2012, Vanderbilt University

 High-speed rail (HSR) planning models have not considered the response of airline operations to introducing high-speed rail to their commercial transportation networks. While considering the… (more)

Subjects/Keywords: game theory; optimization; systems analysis

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APA (6th Edition):

Noreiga, Q. C. (2012). Game Theoretic Multidisciplinary Optimization Methods for System-of-Systems Analysis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13326

Chicago Manual of Style (16th Edition):

Noreiga, Quentin Carlyle. “Game Theoretic Multidisciplinary Optimization Methods for System-of-Systems Analysis.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/13326.

MLA Handbook (7th Edition):

Noreiga, Quentin Carlyle. “Game Theoretic Multidisciplinary Optimization Methods for System-of-Systems Analysis.” 2012. Web. 11 Apr 2021.

Vancouver:

Noreiga QC. Game Theoretic Multidisciplinary Optimization Methods for System-of-Systems Analysis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/13326.

Council of Science Editors:

Noreiga QC. Game Theoretic Multidisciplinary Optimization Methods for System-of-Systems Analysis. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/13326


Vanderbilt University

17. Ling, You. Uncertainty quantification in time-dependent reliability analysis.

Degree: PhD, Civil Engineering, 2013, Vanderbilt University

 The prediction of failure probability for engineering components/devices under service conditions often involves the use of predictive models and measurement data. The fact that no… (more)

Subjects/Keywords: Bayesian network; calibration; validation; model uncertainty; reliability

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APA (6th Edition):

Ling, Y. (2013). Uncertainty quantification in time-dependent reliability analysis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14008

Chicago Manual of Style (16th Edition):

Ling, You. “Uncertainty quantification in time-dependent reliability analysis.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/14008.

MLA Handbook (7th Edition):

Ling, You. “Uncertainty quantification in time-dependent reliability analysis.” 2013. Web. 11 Apr 2021.

Vancouver:

Ling Y. Uncertainty quantification in time-dependent reliability analysis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/14008.

Council of Science Editors:

Ling Y. Uncertainty quantification in time-dependent reliability analysis. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/14008


Vanderbilt University

18. Cai, Guowei. Big Data Analytics in Structural Health Monitoring.

Degree: PhD, Civil Engineering, 2017, Vanderbilt University

 This dissertation investigates methods to implement big data analytics in structural health monitoring. Four types of activities are considered: (1) data processing; (2) structural damage… (more)

Subjects/Keywords: High-dimensional Model Calibration; Bayesian Approaches; MapReduce; Structural Health Monitoring; Big Data Analytics

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APA (6th Edition):

Cai, G. (2017). Big Data Analytics in Structural Health Monitoring. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14239

Chicago Manual of Style (16th Edition):

Cai, Guowei. “Big Data Analytics in Structural Health Monitoring.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/14239.

MLA Handbook (7th Edition):

Cai, Guowei. “Big Data Analytics in Structural Health Monitoring.” 2017. Web. 11 Apr 2021.

Vancouver:

Cai G. Big Data Analytics in Structural Health Monitoring. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/14239.

Council of Science Editors:

Cai G. Big Data Analytics in Structural Health Monitoring. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/14239


Vanderbilt University

19. Stephens, Catherine Suzanne. Multiscale Performance of Cement-Based Composites with Carbon Nanofibers.

Degree: PhD, Civil Engineering, 2013, Vanderbilt University

 The use of short, randomly distributed fibers in cement-based composites has improved properties and allowed for multifunctional capabilities such as the ability to sense damage.… (more)

Subjects/Keywords: carbon nanofibers; cement-based composites; hybrid fiber reinforcement; dispersion; nanoindentation; mechanical properties; multiscale

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APA (6th Edition):

Stephens, C. S. (2013). Multiscale Performance of Cement-Based Composites with Carbon Nanofibers. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11712

Chicago Manual of Style (16th Edition):

Stephens, Catherine Suzanne. “Multiscale Performance of Cement-Based Composites with Carbon Nanofibers.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/11712.

MLA Handbook (7th Edition):

Stephens, Catherine Suzanne. “Multiscale Performance of Cement-Based Composites with Carbon Nanofibers.” 2013. Web. 11 Apr 2021.

Vancouver:

Stephens CS. Multiscale Performance of Cement-Based Composites with Carbon Nanofibers. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/11712.

Council of Science Editors:

Stephens CS. Multiscale Performance of Cement-Based Composites with Carbon Nanofibers. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/11712


Vanderbilt University

20. Brubaker, Cole Dylan. Functionalized Composites for 3D-Printing and Additive Manufacturing Applications.

Degree: PhD, Civil Engineering, 2019, Vanderbilt University

 With the ability to shorten production times, while simultaneously minimizing material waste, additive manufacturing technologies and techniques, including 3D printing, have emerged with the potential… (more)

Subjects/Keywords: Quantum Dots; Gold Nanoparticles; Phosphors; Additive Manufacturing; 3D Printing; Nanotechnology

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APA (6th Edition):

Brubaker, C. D. (2019). Functionalized Composites for 3D-Printing and Additive Manufacturing Applications. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15358

Chicago Manual of Style (16th Edition):

Brubaker, Cole Dylan. “Functionalized Composites for 3D-Printing and Additive Manufacturing Applications.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/15358.

MLA Handbook (7th Edition):

Brubaker, Cole Dylan. “Functionalized Composites for 3D-Printing and Additive Manufacturing Applications.” 2019. Web. 11 Apr 2021.

Vancouver:

Brubaker CD. Functionalized Composites for 3D-Printing and Additive Manufacturing Applications. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/15358.

Council of Science Editors:

Brubaker CD. Functionalized Composites for 3D-Printing and Additive Manufacturing Applications. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/15358


Vanderbilt University

21. Griffith, Candice Denise. Inclusion of Fatigue Effects in Human Reliability Analysis.

Degree: PhD, Civil and Enviromental Engineering, 2013, Vanderbilt University

 This research investigates a quantitative methodology for the inclusion of fatigue, induced by sleep deprivation, in human reliability analysis (HRA). A statistical approach is developed… (more)

Subjects/Keywords: Human reliability analysis; fatigue; sleep deprivation; human error probabilities

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APA (6th Edition):

Griffith, C. D. (2013). Inclusion of Fatigue Effects in Human Reliability Analysis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12017

Chicago Manual of Style (16th Edition):

Griffith, Candice Denise. “Inclusion of Fatigue Effects in Human Reliability Analysis.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/12017.

MLA Handbook (7th Edition):

Griffith, Candice Denise. “Inclusion of Fatigue Effects in Human Reliability Analysis.” 2013. Web. 11 Apr 2021.

Vancouver:

Griffith CD. Inclusion of Fatigue Effects in Human Reliability Analysis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/12017.

Council of Science Editors:

Griffith CD. Inclusion of Fatigue Effects in Human Reliability Analysis. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/12017


Vanderbilt University

22. Nannapaneni, Saideep. Uncertainty Aggregation in System Performance Assessment.

Degree: PhD, Civil Engineering, 2017, Vanderbilt University

 Probabilistic performance assessment evaluates a system’s capability to accomplish the required functions under uncertainty. The results of probabilistic performance assessment can be used to support… (more)

Subjects/Keywords: Uncertainty; Performance; Bayesian; Cyber-Physical; Multi-Physics

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APA (6th Edition):

Nannapaneni, S. (2017). Uncertainty Aggregation in System Performance Assessment. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14095

Chicago Manual of Style (16th Edition):

Nannapaneni, Saideep. “Uncertainty Aggregation in System Performance Assessment.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/14095.

MLA Handbook (7th Edition):

Nannapaneni, Saideep. “Uncertainty Aggregation in System Performance Assessment.” 2017. Web. 11 Apr 2021.

Vancouver:

Nannapaneni S. Uncertainty Aggregation in System Performance Assessment. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/14095.

Council of Science Editors:

Nannapaneni S. Uncertainty Aggregation in System Performance Assessment. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/14095


Vanderbilt University

23. Heard, William Franklin. Development and Multi-Scale Characterization of a Self-Consolidating High-Strength Concrete for Quasi-Static and Transient Loads.

Degree: PhD, Civil Engineering, 2014, Vanderbilt University

 Systematic development of a new self-consolidating high-strength cementitious armor material, for use in protective construction against blast and ballistic impact, is presented. Multi-scale experimental methods… (more)

Subjects/Keywords: Self Consolidating Concrete; High Strength Concrete; Projectile Impact; Triaxial Compression; Split Hopkinson Bar; Kolsky Bar

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APA (6th Edition):

Heard, W. F. (2014). Development and Multi-Scale Characterization of a Self-Consolidating High-Strength Concrete for Quasi-Static and Transient Loads. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11215

Chicago Manual of Style (16th Edition):

Heard, William Franklin. “Development and Multi-Scale Characterization of a Self-Consolidating High-Strength Concrete for Quasi-Static and Transient Loads.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/11215.

MLA Handbook (7th Edition):

Heard, William Franklin. “Development and Multi-Scale Characterization of a Self-Consolidating High-Strength Concrete for Quasi-Static and Transient Loads.” 2014. Web. 11 Apr 2021.

Vancouver:

Heard WF. Development and Multi-Scale Characterization of a Self-Consolidating High-Strength Concrete for Quasi-Static and Transient Loads. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/11215.

Council of Science Editors:

Heard WF. Development and Multi-Scale Characterization of a Self-Consolidating High-Strength Concrete for Quasi-Static and Transient Loads. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/11215


Vanderbilt University

24. Cummins, Joshua Joseph. Characterization of a Pneumatic Strain Energy Accumulator: Efficiency and First Principles Models with Uncertainty Analysis.

Degree: PhD, Mechanical Engineering, 2016, Vanderbilt University

 Several technical needs were identified and addressed for advancing the Strain Energy Accumulator (SEA), which is an energy storage device consisting of an expandable rubber… (more)

Subjects/Keywords: Efficiency; Modeling; Strain Energy; Pneumatics; Conductive Elastomers; Load and Damage Monitoring

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APA (6th Edition):

Cummins, J. J. (2016). Characterization of a Pneumatic Strain Energy Accumulator: Efficiency and First Principles Models with Uncertainty Analysis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11159

Chicago Manual of Style (16th Edition):

Cummins, Joshua Joseph. “Characterization of a Pneumatic Strain Energy Accumulator: Efficiency and First Principles Models with Uncertainty Analysis.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/11159.

MLA Handbook (7th Edition):

Cummins, Joshua Joseph. “Characterization of a Pneumatic Strain Energy Accumulator: Efficiency and First Principles Models with Uncertainty Analysis.” 2016. Web. 11 Apr 2021.

Vancouver:

Cummins JJ. Characterization of a Pneumatic Strain Energy Accumulator: Efficiency and First Principles Models with Uncertainty Analysis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/11159.

Council of Science Editors:

Cummins JJ. Characterization of a Pneumatic Strain Energy Accumulator: Efficiency and First Principles Models with Uncertainty Analysis. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/11159


Vanderbilt University

25. Li, Chenzhao. Sensitivity Analysis and Uncertainty Integration for System Diagnosis and Prognosis.

Degree: PhD, Civil Engineering, 2016, Vanderbilt University

 A system of interest usually consists of some unknown model parameters that affect its output. System diagnosis estimates these model parameters and track their evolution… (more)

Subjects/Keywords: Sensitivity analysis; Uncertainty integration; diagnosis; prognosis; Bayesian network

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APA (6th Edition):

Li, C. (2016). Sensitivity Analysis and Uncertainty Integration for System Diagnosis and Prognosis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14238

Chicago Manual of Style (16th Edition):

Li, Chenzhao. “Sensitivity Analysis and Uncertainty Integration for System Diagnosis and Prognosis.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/14238.

MLA Handbook (7th Edition):

Li, Chenzhao. “Sensitivity Analysis and Uncertainty Integration for System Diagnosis and Prognosis.” 2016. Web. 11 Apr 2021.

Vancouver:

Li C. Sensitivity Analysis and Uncertainty Integration for System Diagnosis and Prognosis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/14238.

Council of Science Editors:

Li C. Sensitivity Analysis and Uncertainty Integration for System Diagnosis and Prognosis. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/14238


Vanderbilt University

26. Jenkins, Lindsay Michelle. Optimizing Maintenance and Replacement Activities for Water Distribution Pipelines.

Degree: PhD, Civil Engineering, 2014, Vanderbilt University

 As water pipelines reach the end of their useful lives, asset managers must develop replacement and maintenance programs that mitigate the risk of pipeline failure.… (more)

Subjects/Keywords: water pipes; pipelines; pipeline failure; breakrate; water distribution; asset management

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APA (6th Edition):

Jenkins, L. M. (2014). Optimizing Maintenance and Replacement Activities for Water Distribution Pipelines. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14773

Chicago Manual of Style (16th Edition):

Jenkins, Lindsay Michelle. “Optimizing Maintenance and Replacement Activities for Water Distribution Pipelines.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/14773.

MLA Handbook (7th Edition):

Jenkins, Lindsay Michelle. “Optimizing Maintenance and Replacement Activities for Water Distribution Pipelines.” 2014. Web. 11 Apr 2021.

Vancouver:

Jenkins LM. Optimizing Maintenance and Replacement Activities for Water Distribution Pipelines. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/14773.

Council of Science Editors:

Jenkins LM. Optimizing Maintenance and Replacement Activities for Water Distribution Pipelines. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/14773


Vanderbilt University

27. Mullins, Joshua Grady. Resource Allocation for Uncertainty Quantification and Reduction.

Degree: PhD, Civil Engineering, 2014, Vanderbilt University

 This dissertation explores resource allocation methods for quantification and reduction of prediction uncertainty from computational models, in order to enable risk assessment and decision-making in… (more)

Subjects/Keywords: resource allocation; model calibration; model validation; model selection; test selection; uncertainty quantification

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APA (6th Edition):

Mullins, J. G. (2014). Resource Allocation for Uncertainty Quantification and Reduction. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13976

Chicago Manual of Style (16th Edition):

Mullins, Joshua Grady. “Resource Allocation for Uncertainty Quantification and Reduction.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/13976.

MLA Handbook (7th Edition):

Mullins, Joshua Grady. “Resource Allocation for Uncertainty Quantification and Reduction.” 2014. Web. 11 Apr 2021.

Vancouver:

Mullins JG. Resource Allocation for Uncertainty Quantification and Reduction. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/13976.

Council of Science Editors:

Mullins JG. Resource Allocation for Uncertainty Quantification and Reduction. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/13976


Vanderbilt University

28. Liang, Chen. Multidisciplinary Analysis and Optimization under Uncertainty.

Degree: PhD, Civil Engineering, 2016, Vanderbilt University

 This study proposes an optimization framework to include different sources of uncertainty in the design of multidisciplinary analysis with feedback coupling. To achieve this goal,… (more)

Subjects/Keywords: Optimization; Multidisciplinary Analysis; Uncertainty Quantification; Reliability Assessment

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APA (6th Edition):

Liang, C. (2016). Multidisciplinary Analysis and Optimization under Uncertainty. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10625

Chicago Manual of Style (16th Edition):

Liang, Chen. “Multidisciplinary Analysis and Optimization under Uncertainty.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/10625.

MLA Handbook (7th Edition):

Liang, Chen. “Multidisciplinary Analysis and Optimization under Uncertainty.” 2016. Web. 11 Apr 2021.

Vancouver:

Liang C. Multidisciplinary Analysis and Optimization under Uncertainty. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/10625.

Council of Science Editors:

Liang C. Multidisciplinary Analysis and Optimization under Uncertainty. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/10625


Vanderbilt University

29. Kulkarni, Chetan Shrikant. A physics-based degradation modeling framework for diagnostic and prognostic studies in electrolytic capacitors.

Degree: PhD, Electrical Engineering, 2013, Vanderbilt University

 Avionics systems play a critical role in many aspects of aircraft flight control. As the complexity of these systems increase, the chances of in-flight malfunctions… (more)

Subjects/Keywords: Prognostics; Degradation. Avinonics Systems; Physics-based models; Electrolytic Capacitors; Accelerated Aging

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APA (6th Edition):

Kulkarni, C. S. (2013). A physics-based degradation modeling framework for diagnostic and prognostic studies in electrolytic capacitors. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10426

Chicago Manual of Style (16th Edition):

Kulkarni, Chetan Shrikant. “A physics-based degradation modeling framework for diagnostic and prognostic studies in electrolytic capacitors.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/10426.

MLA Handbook (7th Edition):

Kulkarni, Chetan Shrikant. “A physics-based degradation modeling framework for diagnostic and prognostic studies in electrolytic capacitors.” 2013. Web. 11 Apr 2021.

Vancouver:

Kulkarni CS. A physics-based degradation modeling framework for diagnostic and prognostic studies in electrolytic capacitors. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/10426.

Council of Science Editors:

Kulkarni CS. A physics-based degradation modeling framework for diagnostic and prognostic studies in electrolytic capacitors. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/10426


Vanderbilt University

30. Zhang, Xiaoge. Machine Learning and Optimization Models to Assess and Enhance System Resilience.

Degree: PhD, Civil Engineering, 2019, Vanderbilt University

 Engineering systems following disruptive events usually experience abrupt performance degradation over time. How to mitigate the disastrous effect of unanticipated events and restore the performance… (more)

Subjects/Keywords: Reliability analysis; Data analytics; Machine learning; Resilience optimization

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APA (6th Edition):

Zhang, X. (2019). Machine Learning and Optimization Models to Assess and Enhance System Resilience. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12279

Chicago Manual of Style (16th Edition):

Zhang, Xiaoge. “Machine Learning and Optimization Models to Assess and Enhance System Resilience.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/12279.

MLA Handbook (7th Edition):

Zhang, Xiaoge. “Machine Learning and Optimization Models to Assess and Enhance System Resilience.” 2019. Web. 11 Apr 2021.

Vancouver:

Zhang X. Machine Learning and Optimization Models to Assess and Enhance System Resilience. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/12279.

Council of Science Editors:

Zhang X. Machine Learning and Optimization Models to Assess and Enhance System Resilience. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/12279

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