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个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 工业装备结构分析优化与CAE软件全国重点实验室主任、结构优化理论与应用国际联合研究中心主任
性别：男
毕业院校：大连理工大学
学位：博士
所在单位：力学与航空航天学院
学科：工程力学. 计算力学. 结构工程. 车辆工程
办公地点：力学楼302
联系方式：0411-84707267 ligang@dlut.edu.cn
电子邮箱：ligang@dlut.edu.cn
An efficient adaptive-loop method for non-probabilistic reliability-based design optimization
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论文类型：期刊论文
发表时间：2017-09-01
发表刊物：COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
收录刊物：SCIE、EI、Scopus
卷号：324
页面范围：689-711
ISSN号：0045-7825
关键字：Non-probabilistic reliability-based design optimization; Efficient adaptive-loop method; Improved single loop method; Chaos control; Complex engineering problem
摘要：For non-probabilistic reliability-based design optimization (NRBDO), existing methods cannot satisfy both efficiency and robustness requirements, especially for complex engineering problems. In this study, an efficient adaptive-loop (EAL) method for NRBDO is proposed based on an improved single loop method and enhanced chaos control method, aiming to enhance the optimization efficiency without sacrifice of numerical stability. The constraint function is reconstructed to improve the efficiency of reliability analysis. Moreover, a criteria condition is defined to guarantee the rationality of rough optimum and eliminate redundant constraints. The proposed EAL method can adaptively switch to a proper method, thus both high efficiency and robustness can be guaranteed. Nonlinear numerical examples and complex engineering problems are utilized to demonstrate the effectiveness of the proposed method by comparison with other existing methods. (C) 2017 Elsevier B.V. All rights reserved.