Sequential optimization and fuzzy reliability analysis for multidisciplinary systems

被引：34
|
作者：
Wang, Lei [1 ]
Xiong, Chuang [1 ]
Wang, Xiaojun [1 ]
Liu, Guanhua [1 ]
Shi, Qinghe [1 ]
机构：
[1] Beihang Univ, Inst Solid Mech, Beijing 100191, Peoples R China
来源：
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION | 2019年 / 60卷 / 03期
关键词：
Reliability-based multidisciplinary design optimization; Sequential optimization and reliability analysis; Fuzzy reliability analysis; Adaptive collocation method; Shifting distance; DESIGN OPTIMIZATION; PROFUST RELIABILITY; EFFICIENT STRATEGY; UNCERTAINTY; INTERVAL; ALGORITHM;
D O I：
10.1007/s00158-019-02258-y
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
To meet the rising demand for high reliability in complex multidisciplinary engineering systems, more attention has been paid to reliability-based multidisciplinary design optimization (RBMDO). In this paper, a sequential optimization and fuzzy reliability analysis (SOFRA) method for multidisciplinary systems is developed to decouple the fuzzy reliability analysis from the optimization. In SOFRA, the multidisciplinary design optimization (MDO) and fuzzy reliability analysis are conducted in a sequential manner. Furthermore, a novel adaptive collocation method (ACM) is proposed to conduct the fuzzy reliability analysis for multidisciplinary systems. The ACM arranges points adaptively at the axis of the membership to obtain more accurate results. The shifting distance of the constraint is calculated by the bi-section method. Both numerical and engineering examples are used to demonstrate the validity of the proposed method.
引用
收藏
页码：1079 / 1095
页数：17
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