Structural reliability analysis using response surface method with improved genetic algorithm

被引:18
|
作者
Fang, Yongfeng [1 ]
Teea, Kong Fah [2 ]
机构
[1] Guizhou Univ Sci Engn, Sch Mech Engn, Bijie 551700, Peoples R China
[2] Univ Greenwich, Dept Engn Sci, Chatham ME4 4TB, Kent, England
关键词
structural reliability; response surface method; improved genetic algorithm; OPTIMIZATION;
D O I
10.12989/sem.2017.62.2.139
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
For the conventional computational methods for structural reliability analysis, the common limitations are long computational time, large number of iteration and low accuracy. Thus, a new novel method for structural reliability analysis has been proposed in this paper based on response surface method incorporated with an improved genetic algorithm. The genetic algorithm is first improved from the conventional genetic algorithm. Then, it is used to produce the response surface and the structural reliability is finally computed using the proposed method. The proposed method can be used to compute structural reliability easily whether the limit state function is explicit or implicit. It has been verified by two practical engineering cases that the algorithm is simple, robust, high accuracy and fast computation.
引用
收藏
页码:139 / 142
页数:4
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