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2019_Clark_NDM4MDO_ofASUU.pdf (19.7 MB)

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Non-Deterministic Metamodeling for Multidisciplinary Design Optimization of Aircraft Systems Under Uncertainty

Clark, Daniel L., Jr.
http://rave.ohiolink.edu/etdc/view?acc_num=wright1575453584141295

Abstract Details

2019, Doctor of Philosophy (PhD), Wright State University, Engineering PhD.
To make coupled multi-physics-informed design decisions, multidisciplinary analysis, design optimization and uncertainty quantification must be present to accurately represent the full system under investigation. Unfortunately, all of these processes are computationally demanding, requiring a large number of system evaluations with identified uncertain variables, and iterative system evaluations with respect to the design variables of interest. Surrogate or metamodels are used to alleviate the computational burden in both these design exploration activities by trading accuracy with efficiency. The primary objective of this dissertation is to develop a flexible surrogate modeling technique capable of quantifying the uncertainty of multidisciplinary systems in an iterative and efficient procedure. In this work, the Non-Deterministic Kriging (NDK) method is derived. This surrogate model represents a flexible approach for approximating epistemic and aleatory uncertainty. To achieve an iterative and efficient computational framework additional tasks were established: (1) characterize and develop a unified stochastic process incorporating incomplete and mixed uncertainty data; (2) develop a novel adaptive sampling method that effectively and efficiently updates the NDK model to enable a global multidisciplinary design optimization technique under uncertainty; (3) derive analytic sensitivities to achieve non-deterministic sensitivities with respect to the design variables; (4) propose an efficient reliability-based design optimization framework for multidisciplinary systems using NDK to reduce the design space.
Harok Bae, Ph.D. (Advisor)
Ramana V. Grandhi, Ph.D. (Committee Member)
Rory A. Roberts, Ph.D. (Committee Member)
Markus P. Rumpfkeil, Ph.D. (Committee Member)
Edwin E. Forster, Ph.D. (Committee Member)
232 p.
Engineering
Metamodeling; Uncertainty Quantification; Optimization; Surrogate Modeling; Aircraft Structures

Recommended Citations

Citations

  • Clark, Jr., D. L. (2019). Non-Deterministic Metamodeling for Multidisciplinary Design Optimization of Aircraft Systems Under Uncertainty [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1575453584141295

    APA Style (7th edition)

  • Clark, Jr., Daniel. Non-Deterministic Metamodeling for Multidisciplinary Design Optimization of Aircraft Systems Under Uncertainty. 2019. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1575453584141295.

    MLA Style (8th edition)

  • Clark, Jr., Daniel. "Non-Deterministic Metamodeling for Multidisciplinary Design Optimization of Aircraft Systems Under Uncertainty." Doctoral dissertation, Wright State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1575453584141295

    Chicago Manual of Style (17th edition)

wright1575453584141295
222
© 2019, some rights reserved.Creative Commons License Non-Deterministic Metamodeling for Multidisciplinary Design Optimization of Aircraft Systems Under Uncertainty by Daniel L. Clark Jr. is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.