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Extending SORA method for reliability-based design optimization using probability and convex set mixed models

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成果类型:
期刊论文
作者:
Li, Fangyi*;Liu, Jie;Wen, Guilin;Rong, Jianhua
通讯作者:
Li, Fangyi
作者机构:
[Li, Fangyi; Rong, Jianhua] Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410114, Hunan, Peoples R China.
[Liu, Jie] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China.
[Wen, Guilin] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China.
通讯机构:
[Li, Fangyi] C
Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Reliability-based design optimization;Kriging model;Mixed uncertainty model;Probability;Convex set model
期刊:
Structural and Multidisciplinary Optimization
ISSN:
1615-147X
年:
2019
卷:
59
期:
4
页码:
1163-1179
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11302033, 11772070, 11672104]; Open Fund of State Key Laboratory of Automotive Simulation and Control [20121105]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [17C0044]
机构署名:
本校为第一且通讯机构
院系归属:
汽车与机械工程学院
摘要:
In many practical applications, probabilistic and bounded uncertainties often arise simultaneously, and these uncertainties can be described by using probability and convex set models. However, the computing cost becomes unacceptable when directly solving the reliability-based design optimization (RBDO) problem with these uncertainties involved. To address this issue, in this study, a sequential sampling strategy by extending classical sequential optimization and reliability assessment (SORA) method for RBDO is developed. The proposed strategy ...

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