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
A Hybrid Reliability-Based Design Optimization Approach with Adaptive Chaos Control Using Kriging Model
点击次数:
论文类型:期刊论文
发表时间:2016-02-01
发表刊物:INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS
收录刊物:SCIE、EI
卷号:13
期号:1
ISSN号:0219-8762
关键字:Reliability-based design optimization; Kriging model; chaos control; multiple local optima; highly nonlinear constraints
摘要:Traditional reliability-based design optimization (RBDO) approaches are computationally expensive for complicated problems. To cope with this challenge, a surrogate-based hybrid RBDO approach for the problems with highly nonlinear constraints and multiple local optima is proposed in this study. Specifically, the adaptive chaos control (ACC) method is used to ensure the robustness of the most probable target point (MPTP) search process, and the particle swarm optimization (PSO) algorithm is utilized to conquer the barrier caused by multiple local optima. Three illustrative benchmark examples together with a 3 m diameter orthogrid stiffened shell for current launch vehicles are employed to demonstrate the efficiency and robustness of the proposed method.