Slope reliability analysis using random field numerical limit analyses

K. Kasama, Andrew J. Whittle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a probabilistic approach to evaluating the geotechnical stability problem by incorporating the stochastic spatial variability of soil property within the numerical limit analyses. The undrained shear strength and unit weight of soil are treated as a random field which is characterized by a lognormal distribution and a spatial correlation length. The current calculations use a Cholesky Decomposition technique to incorporate these random properties in numerical limit analyses. The Random Field Numerical Limit Analyses are applied to evaluate effects of spatial variability of soil property on the slope stability and the failure mechanism. Monte Carlo iterations are then used to interpret the failure probability of slope for selected ranges of the coefficient of variation in soil property and the ratio of correlation length to slope height. Finally, the variation of slope failure mode is examined in terms of the variability of safety factor of slope failure.

Original languageEnglish
Title of host publicationComputer Methods and Recent Advances in Geomechanics - Proc. of the 14th International Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014
PublisherTaylor and Francis - Balkema
Pages1283-1288
Number of pages6
ISBN (Print)9781138001480
DOIs
Publication statusPublished - 2015
Event14th International Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014 - Kyoto, Japan
Duration: Sep 22 2014Sep 25 2014

Publication series

NameComputer Methods and Recent Advances in Geomechanics - Proceedings of the 14th Int. Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014

Other

Other14th International Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014
CountryJapan
CityKyoto
Period9/22/149/25/14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Geochemistry and Petrology

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