The effects of method of generating circular slip surfaces on determining the critical slip surface by particle swarm optimization View Full Text


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Article Info

DATE

2013-03-27

AUTHORS

R. Kalatehjari, N. Ali, M. Kholghifard, M. Hajihassani

ABSTRACT

The main objectives of slope stability analysis are evaluating factor of safety for a given slip surface and determining the critical slip surface for a given slope. Factor of safety is usually calculated by limit equilibrium method. The main steps to determine the critical slip surface are generating trial slip surfaces as probable solutions and searching among them to determine the one with the lowest factor of safety. Although the process of searching the critical slip surface received much attention between researchers, the significance of method of generating slip surfaces is seldom addressed in the literature. The authors believe that this ignorance can affect the accuracy of the results of slope stability analysis even in the simplest problems with circular slip surfaces. Consequently, this paper focused on the method of generating circular trial slip surfaces as the simplest mechanism of sliding and considered its effect on determining the critical slip surface. A new method of generating circular slip surface was presented, which is more efficient and less restricted than the conventional method. A computer program was also developed to determine the critical slip surface of slopes by using particle swarm optimization. The performances of the proposed method and developed computer program were verified during comparative studies and sensitivity analysis. Based on the results, the effect of method of generating circular slip surfaces on determining the critical slip surface was confirmed successfully. In all considered problems, the proposed method of generating circular slip surfaces led to the lower values of factor of safety compare with the conventional method. More... »

PAGES

1529-1539

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12517-013-0922-5

DOI

http://dx.doi.org/10.1007/s12517-013-0922-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030189945


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