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Structural reliability analysis using response surface method with improved genetic algorithm

Structural reliability analysis using response surface method with improved genetic algorithm

Fang, Yongfeng and Tee, Kong Fah (2017) Structural reliability analysis using response surface method with improved genetic algorithm. Structural Engineering and Mechanics, 62 (2). pp. 139-142. ISSN 1225-4568 (Print), 1598-6217 (Online) (doi:10.12989/sem.2017.62.2.139)

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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.

Item Type: Article
Uncontrolled Keywords: Structural reliability; Response surface method; Improved genetic algorithm
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 31 Aug 2017 13:12
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/17398

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