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论文类型：期刊论文

发表时间：2009-03-01

发表刊物：GEOMECHANICS AND ENGINEERING

收录刊物：SCIE

卷号：1

期号：1

页面范围：85-96

ISSN号：2005-307X

关键字：hybrid genetic algorithm; slope stability; critical factor of safety; hybrid optimization

摘要：The radius and coordinate of sliding circle are taken as searching variables in slope stability analysis. Genetic algorithm is applied for searching for critical factor of safety. In order to search for critical factor of safety in slope stability analysis efficiently and in a robust manner, some improvements for simple genetic algorithm are proposed. Taking the advantages of efficiency of neighbor-search of the simulated annealing and the robustness of genetic algorithm, a hybrid optimization method is presented. The numerical computation shows that the procedure can determine the minimal factor of safety and be applied to slopes with any geometry, layering, pore pressure and external load distribution. The comparisons demonstrate that the genetic algorithm provides a same solution when compared with elasto-plastic finite element program.