Searching for critical failure surface in slope stability analysis by using hybrid genetic algorithm

被引:12
|
作者
Li, Shouju [1 ]
Shangguan, Zichang [2 ,3 ]
Duan, Hongxia [1 ,4 ]
Liu, Yingxi [1 ]
Luan, Maotian [2 ]
机构
[1] Dalian Univ Technol, State Key Lab Struct Anal Ind Equip, Dalian 116023, Peoples R China
[2] Dalian Univ Technol, Sch Civil & Hydraul Engn, Dalian 116023, Peoples R China
[3] Dalian Fishery Univ, Inst Civil Engn, Dalian 116023, Peoples R China
[4] Dalian Nationalities Univ, Coll Architecture & Civil Engn, Dalian 116605, Peoples R China
基金
中国国家自然科学基金;
关键词
hybrid genetic algorithm; slope stability; critical factor of safety; hybrid optimization; LOCATION; SYSTEM;
D O I
10.12989/gae.2009.1.1.085
中图分类号
TU [建筑科学];
学科分类号
0813 ;
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.
引用
收藏
页码:85 / 96
页数:12
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