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Structural and Multidisciplinary Optimization
Published in: Structural and Multidisciplinary Optimization 2/2010

01-08-2010 | Research Paper

Reliability-based design optimization using a family of methods of moving asymptotes

Authors: Tae Min Cho, Byung Chai Lee

Published in: Structural and Multidisciplinary Optimization | Issue 2/2010

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Abstract

In this study, an effective method for reliability-based design optimization is proposed enhancing sequential optimization and reliability assessment (SORA) method by a family of methods of moving asymptotes (MMA) approximations. In SORA, reliability estimation and deterministic optimization are performed sequentially. And the sensitivity and function value of probabilistic constraint at the most probable point (MPP) are obtained in the process of finding reliability information. In this study, a family of MMA approximations are constructed by utilizing the sensitivity and function value of the probabilistic constraint at the MPP. So, no additional evaluation of the probabilistic constraint is required in constructing MMA approximations. Moreover, no additional evaluation of the probabilistic constraint is required in the deterministic optimization of SORA by using a family of MMA approximations. The efficiency and accuracy of the proposed method were verified through numerical examples.
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Metadata
Title
Reliability-based design optimization using a family of methods of moving asymptotes
Authors
Tae Min Cho
Byung Chai Lee
Publication date
01-08-2010
Publisher
Springer-Verlag
Published in
Structural and Multidisciplinary Optimization / Issue 2/2010
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-010-0480-3

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