›› 2006, Vol. 27 ›› Issue (11): 2011-2014.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Recognition of critical slip surface based on GA and SVM

ZHAO Hong-bo1, 2   

  1. 1. Key Laboratory of Rock and Soil Mechanics, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; 2. Department of Civil Engineering, Shaoxing University, Shaoxing 312000, China
  • Received:2005-06-06 Online:2006-11-10 Published:2013-12-04

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Abstract: A new approach to recognize critical slip surface is proposed by combining the support vector machine and genetic algorithm.The learning and testing samples produced in orthogonal experiment are used to train the support vector machine. Thus, the support vector machine is used to describe the relationship between slip surface and factor of safety. Then genetic algorithm is adopted to search critical slip surface in their global ranges. This approach was applied to two examples. The results are satisfactory.

Key words: slope, critical slip surface, support vector machine, genetic algorithm, limit equilibrium analysis

CLC Number: 

  • TB 115
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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