Genetic algorithms in stability analysis of non-homogeneous slopes

N. Sabhahit, A. U. Rao

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In recent years, genetic algorithm search procedure has been used to locate the critical slip surface of homogeneous slopes. It has been found that genetic algorithm is a robust search technique which often gives global solution. In the present study, genetic algorithm has been used to locate the critical slip surface of non-homogeneous slope in conjunction with slope stability analysis method developed by Janbu (1973) for generalized slip surface. The results obtained from the present study have been compared with those available in the literature [Greco (1996) and Zolfaghari et al. (2005)]. The effect of various genetic algorithm parameters (population size, number of generations, crossover probability and mutation probability) on the solution has been studied. It has been found from the results that Janbu's method (1973) of stability analysis along with genetic algorithm as search procedure gives a better solution in terms of getting minimum factor of safety, compared to other methods.

Original languageEnglish
Pages (from-to)33-44
Number of pages12
JournalInternational Journal of Geotechnical Engineering
Volume5
Issue number1
DOIs
Publication statusPublished - 01-01-2011

Fingerprint

stability analysis
genetic algorithm
Genetic algorithms
Slope stability
safety factor
slope stability
methodology
population size
mutation
safety
method

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Geotechnical Engineering and Engineering Geology
  • Soil Science

Cite this

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Genetic algorithms in stability analysis of non-homogeneous slopes. / Sabhahit, N.; Rao, A. U.

In: International Journal of Geotechnical Engineering, Vol. 5, No. 1, 01.01.2011, p. 33-44.

Research output: Contribution to journalArticle

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