Search for critical slip surface in slope stability analysis by spline-based GA method

Jianping Sun*, Jiachun Li, Qingquan Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

92 Citations (Scopus)

Abstract

The stability of a soil slope is usually analyzed by limit equilibrium methods, in which the identification of the critical slip surface is of principal importance. In this study the spline curve in conjunction with a genetic algorithm is used to search the critical slip surface, and Spencer's method is employed to calculate the factor of safety. Three examples are presented to illustrate the reliability and efficiency of the method. Slip surfaces defined by a series of straight lines are compared with those defined by spline curves, and the results indicate that use of spline curves renders better results for a given number of slip surface nodal points comparing with the approximation using straight line segments.

Original languageEnglish
Pages (from-to)252-256
Number of pages5
JournalJournal of Geotechnical and Geoenvironmental Engineering - ASCE
Volume134
Issue number2
DOIs
Publication statusPublished - Feb 2008
Externally publishedYes

Keywords

  • Algorithms
  • Limit equilibrium
  • Safety
  • Slope stability

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