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Efficient approach for reliability-based optimization based on weighted importance sampling approach
Yuan, Xiukai ; Lu, Zhenzhou ; Yuan XK(袁修开)
刊名http://dx.doi.org/10.1016/j.ress.2014.06.015
2014
关键词Importance sampling Monte Carlo methods Reliability analysis
英文摘要An efficient methodology is presented to perform the reliability-based optimization (RBO). It is based on an efficient weighted approach for constructing an approximation of the failure probability as an explicit function of the design variables which is referred to as the 'failure probability function (FPF)'. It expresses the FPF as a weighted sum of sample values obtained in the simulation-based reliability analysis. The required computational effort for decoupling in each iteration is just single reliability analysis. After the approximation of the FPF is established, the target RBO problem can be decoupled into a deterministic one. Meanwhile, the proposed weighted approach is combined with a decoupling approach and a sequential approximate optimization framework. Engineering examples are given to demonstrate the efficiency and accuracy of the presented methodology. ? 2014 Elsevier Ltd. All rights reserved.
语种英语
出版者Elsevier Ltd
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/92282]  
专题物理技术-已发表论文
推荐引用方式
GB/T 7714
Yuan, Xiukai,Lu, Zhenzhou,Yuan XK. Efficient approach for reliability-based optimization based on weighted importance sampling approach[J]. http://dx.doi.org/10.1016/j.ress.2014.06.015,2014.
APA Yuan, Xiukai,Lu, Zhenzhou,&袁修开.(2014).Efficient approach for reliability-based optimization based on weighted importance sampling approach.http://dx.doi.org/10.1016/j.ress.2014.06.015.
MLA Yuan, Xiukai,et al."Efficient approach for reliability-based optimization based on weighted importance sampling approach".http://dx.doi.org/10.1016/j.ress.2014.06.015 (2014).
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