J4 ›› 2010, Vol. 40 ›› Issue (1): 148-152.

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Evaluation of Soil Slope Stability Based on Cellular Automata Ant Algorithm

WANG Yu1,2,XIAO Sheng-xie2,FENG Wu-yi2,ZHANG Yuan-cai1,YU Yi-hua3   

  1. 1.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection|Chengdu University of Technology,Chengdu 610059|China;2.School of Applied Technology,Chongqing Jiaotong University,Chongqing 400074|China;3.School of Civil Engineering and Architecture Southwest University of Science and Technology,Mianyang,Sichuan 621010|China
  • Received:2009-01-15 Online:2010-01-26 Published:2010-01-26

Abstract:

How to ascertain the sliding surface and the factor of safety is the key problem of slope stability, the method of ant colony algorithm(CA)fitting was used to solve the stability analysis of soil slopes, and the structure of CA and the transfer probability formula were modified.An adaptive operator was introduced to change the selection mechanism of ants and prevent the phenomena of stagnation and premature in the evolutionary process.Thus,a new ant colony algorithm,called adaptive ant colony algorithm (CA-AA),was presented.The stability coefficient of Wenwu slope is 1.37, which is less than the value of imbalance push method recommended by “The Rock Soil Engineering Reconnaissance Specification”, and its defect is overcomed, and the  new method applied to soil slope stability evaluation shows that it can exactly find out the global optimal solution and the search efficiency is higher.

Key words: ant algorithm, cellular automata, soil slope, stability factor

CLC Number: 

  • P642
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