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http://dx.doi.org/10.12989/sem.2017.62.2.139

Structural reliability analysis using response surface method with improved genetic algorithm  

Fang, Yongfeng (School of Mechanical Engineering, Guizhou University of Science Engineering)
Tee, Kong Fah (Department of Engineering Science, University of Greenwich)
Publication Information
Structural Engineering and Mechanics / v.62, no.2, 2017 , pp. 139-142 More about this Journal
Abstract
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.
Keywords
structural reliability; response surface method; improved genetic algorithm;
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Times Cited By KSCI : 5  (Citation Analysis)
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