Reliability-based design optimization using convex approximations and sequential optimization and reliability assessment method

作     者：Cho, Tae Min Lee, Byung Chai 

作者机构：Korea Adv Inst Sci & Technol Dept Mech Engn Taejon 305701 South Korea 

出 版 物：《JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY》 (韩国机械工程师学会国际杂志)

年 卷 期：2010年第24卷第1期

页      面：279-283页

核心收录：

学科分类：08[工学] 0802[工学-机械工程] 

主　　题：Convex approximations Most probable point Reliability-based design optimization Sequential optimization and reliability assessment method 

摘      要：In this study, an effective method for reliability-based design optimization (RBDO) is proposed enhancing sequential optimization and reliability assessment (SORA) method by convex approximations. In SORA, reliability estimation and deterministic optimization are performed sequentially. The sensitivity and function value of probabilistic constraint at the most probable point (MPP) are obtained in the reliability analysis loop. In this study, the convex approximations for probabilistic constraint are constructed by utilizing the sensitivity and function value of the probabilistic constraint at the MPP. Hence, the proposed method requires much less function evaluations of probabilistic constraints in the deterministic optimization than the original SORA method. The efficiency and accuracy of the proposed method were verified through numerical examples.