Structural reliability analysis using response surface method with improved genetic algorithm

  • Yongfeng Fang*
  • , Kong Fah Tee
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

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.

Original languageEnglish
Pages (from-to)139-142
Number of pages4
JournalStructural Engineering and Mechanics
Volume62
Issue number2
DOIs
StatePublished - 25 Apr 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright © 2017 Techno-Press, Ltd.

Keywords

  • Improved genetic algorithm
  • Response surface method
  • Structural reliability

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanics of Materials
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Structural reliability analysis using response surface method with improved genetic algorithm'. Together they form a unique fingerprint.

Cite this