Model-based probabilistic analysis and design

Author

Beiqing Huang

Abstract

"The modern competitive market requires optimal, inexpensive, and reliable products ranging from simple components to complex systems with the presence of uncertainties. Probabilistic design, such as robust design and reliability-based design, offers tools for making rational design decisions with the consideration of uncertainty associated with design variables and simulation models. However, its wide applications have been hindered by its costly computation and limited capabilities. The computational inefficiency results from both the expensive probabilistic analysis (robustness assessment or reliability analysis) and the nested structure of probabilistic analysis and optimization. The aim of this dissertation is to develop efficient probabilistic analysis tools as well as design frameworks"--Abstract, page iii.

Advisor(s)

Du, Xiaoping

Committee Member(s)

Stone, Robert B.
McAdams, Daniel A.
Chandrashekhara, K.
Leu, M. C. (Ming-Chuan)

Department(s)

Mechanical and Aerospace Engineering

Degree Name

Ph. D. in Mechanical Engineering

Sponsor(s)

National Science Foundation (U.S.)

Publisher

University of Missouri--Rolla

Publication Date

Spring 2007

Pagination

xii, 153 pages

Note about bibliography

Includes bibliographical references (pages 144-152).

Rights

© 2007 Beiqing Huang, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Subject Headings

Probabilities -- Mathematical modelsRobust optimizationUncertainty -- Mathematical models

Thesis Number

T 9198

Print OCLC #

181101282

Recommended Citation

Huang, Beiqing, "Model-based probabilistic analysis and design" (2007). Doctoral Dissertations. 1737.
https://scholarsmine.mst.edu/doctoral_dissertations/1737