›› 2010, Vol. 31 ›› Issue (11): 3651-3655.

• Numerical Analysis • Previous Articles     Next Articles

Projection pursuit based on particle swarm optimization for evaluation of surrounding rock stability

XU Fei 1,2，XU Wei-ya2，WEN Sen2，LIU Zao-bao2，ZHAO Yan-xi2   

  1. 1.Highway Survey and Design Institute, Haikou 570206, China; 2. Geotechnical Research Institute, Hohai University, Nanjing 210098, China
  • Received:2009-06-26 Online:2010-11-10 Published:2010-11-24

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Abstract:

Evaluation of surrounding rock stability is a complex system problem of uncertainty. Based on the projection pursuit (PP), the particle swarm optimization (PSO) and the logistic curve function (LCF), a new model for evaluation of surrounding rock stability is developed, which is referred as projection pursuit based on particle swarm optimization (PSO-PP). The model, on the one hand, uses PSO to optimize the projection index function and the parameters of LCF so as to ensure the accuracy of the parameters used in the model; on the other hand, the nonlinear relationship between projection values and experiential grades is established according to LCF. The test result of the model indicates there is a very good precision. In this study, the evaluation result obtained by applying the model developed here to an underground project is well consistent with the real situation. It is shown that the model here is feasible and effective in evaluating surrounding rock stability.

Key words: surrounding rock, particle swarm optimization, projection pursuit, stability, evaluation, logistic curve

CLC Number: 

  • TU 452
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