›› 2004, Vol. 25 ›› Issue (2): 316-319.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Application of mixed genetic-simulated annealing algorithms to slope stability analysis

HE Ze-gan, CHEN Sheng-hong   

  1. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
  • Received:2002-10-16 Online:2004-02-10 Published:2014-07-15

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Abstract: A methodology of most dangerous sliding surface search and slope stability analysis is proposed by combining mixed genetic-simulated annealing algorithms with Sweden arc method. Some key problems such as the mathematical model building up, the process constituting, the parameters selecting etc. are discussed. An engineering example is studied; and the results show the validity of the proposed method.

Key words: slope stability analysis, safety factor, genetic algorithms, simulated annealing algorithm

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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