Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (9): 41-45,75.doi: 10.3969/j.issn.1000-565X.2014.09.008

• Mechanical Engineering • Previous Articles     Next Articles

Structural Reliability- Based Optimization Design Using PSO- DE Hybrid Algorithm

Jong Chanhyok1,2 Meng Guang- wei1 Li Feng1 Zhou Li- ming1 Kong Yongsu1   

  1. 1.College of Mechanical Science and Engineering,Jilin University,Changchun 130022,Jilin,China;2.Department of Mathematics and Mechanics,University of Science,Pyongyang,Democratic People's Republic of Korea
  • Received:2014-04-01 Revised:2014-06-11 Online:2014-09-25 Published:2014-08-01
  • Contact: 郑灿赫(1976-)，男，博士生，主要从事结构可靠性与优化设计研究． E-mail:cch711790@163.com
  • About author:郑灿赫(1976-)，男，博士生，主要从事结构可靠性与优化设计研究．
  • Supported by:

    国家自然科学基金资助项目(51305157);吉林省科技厅基金资助项目(201205011， 201215048)

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Abstract:

In order to enhance the efficiency of structural reliability- based optimization design,a PSO- DE hybridalgorithm is proposed on the basis of search features of the particle swarm optimization (PSO) and differential evo-lution (DE) algorithms.This algorithm overcomes the premature convergence of basic PSO algorithm.Moreover,by combining the PSO- DE hybrid algorithm with the structural reliability- based optimization theory,an optimization model is established to minimize the structure mass under the constraint of structural system failure probability.Caseanalyses show that,in comparison with the basic PSO algorithm,the proposed PSO- DE hybrid algorithm improves the convergence rate and the computational accuracy,and the algorithm is easy to implement with strong robustness.

Key words: stochastic structure, reliability optimization, particle swarm optimization algorithm, differential evolu-tion algorithm