Reliability-based Design Optimization Considering Correlated Random Variables

被引：1
|
作者：
Wang Q. [1 ]
Jiang C. [1 ]
Fang T. [1 ]
机构：
[1] State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha
来源：
Jiang, Chao (jiangc@hnu.edu.cn) | 2018年 / Chinese Mechanical Engineering Society卷 / 29期
关键词：
AIC criterion; Copula function; Correlation; Structural reliability-based design optimization;
D O I：
10.3969/j.issn.1004-132X.2018.19.007
中图分类号：
学科分类号：
摘要：
When solving structural reliability-based design optimization problems with nonlinear correlation, current method for correlated variables might lead to inaccurate optimization results in some situations. Based on Copula function, this paper proposed a method to serve as an effective tool for structural reliability-based design optimization problems where nonlinear correlation existed. The proposed method estimated the parameters of alternative Copula functions according to known samples and selected the optimal Copula function by AIC criterion. Therefore, joint distribution function of variables was established to solve structural reliability-based design optimization problems. Finally, two numerical problems were used to demonstrate the validity of proposed method. Influences on optimization results caused by different Copula were also discussed. © 2018, China Mechanical Engineering Magazine Office. All right reserved.
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页码：2312 / 2319and2326
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