Locating global critical slip surface using the morgenstern-price method and optimization technique

Tao Bai, Tong Qiu, Xiaoming Huang Prof., Chang Li

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

This paper presents a method to locate the global critical slip surface for slope profiles with complex geology. In this method, a readily available concise algorithm based on the Morgenstern-Price method is used to efficiently calculate the factor of safety for a slip surface. This algorithm is combined with an optimization technique to search for global critical slip surfaces based on a set of random initial slip surfaces. The proposed method is applied to analyze three example problems involving slope profiles with various degrees of complexity. This study indicates that the proposed global search strategy can locate the global critical slip surface regardless of the initial slip surface for slope profiles with low to moderate complexity. For more complex geologic slope profiles, however, the proposed search strategy may only be able to identify locally critical slip surfaces depending on the initial slip surface. To ensure that the global critical slip surfaces are identified, more random initial slip surfaces need to be considered. A sound engineering judgment may be combined with the global search algorithmpresented in this study to locate global critical slip surfaces more efficiently.

Original languageEnglish (US)
Pages (from-to)319-325
Number of pages7
JournalInternational Journal of Geomechanics
Volume14
Issue number2
DOIs
StatePublished - 2014

All Science Journal Classification (ASJC) codes

  • Soil Science

Fingerprint Dive into the research topics of 'Locating global critical slip surface using the morgenstern-price method and optimization technique'. Together they form a unique fingerprint.

  • Cite this