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DOI QR Code

Structural reliability analysis using response surface method with improved genetic algorithm

Fang, Yongfeng;Tee, Kong Fah

  • Received : 2016.10.09
  • Accepted : 2016.12.16
  • Published : 2017.04.25

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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  1. Research on Timing Optimization of Reginal Traffic Signals Based on Improved Genetic Algorithm vol.423, pp.1757-899X, 2018, https://doi.org/10.1088/1757-899X/423/1/012191
  2. Dynamic Reliability Design of Multicomponent Structure with Improved Weighted Regression Distributed Collaborative Surrogate Model Method vol.2018, pp.1687-8442, 2018, https://doi.org/10.1155/2018/3832783

Acknowledgement

Supported by : Bijie University