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

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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.
Publisher
SPRINGER
Issue Date
2010-08
Language
English
Article Type
Article
Keywords

STRUCTURAL OPTIMIZATION; EXPERIENCE

Citation

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.42, no.2, pp.255 - 268

ISSN
1615-147X
DOI
10.1007/s00158-010-0480-3
URI
http://hdl.handle.net/10203/96950
Appears in Collection
ME-Journal Papers(저널논문)
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