Model-based probabilistic analysis and design
Model based probabilistic analysis and design
"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, leaf iii.
Stone, Robert B.
McAdams, Daniel A.
Leu, M. C. (Ming-Chuan)
Mechanical and Aerospace Engineering
Ph. D. in Mechanical Engineering
National Science Foundation (U.S.)
University of Missouri--Rolla
xii, 153 leaves
© 2007 Beiqing Huang, All rights reserved.
Dissertation - Citation
Library of Congress Subject Headings
Probabilities -- Mathematical models
Uncertainty -- Mathematical models
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b6128634~S5
Huang, Beiqing, "Model-based probabilistic analysis and design" (2007). Doctoral Dissertations. 1737.