Probabilistic seismic stability of three-dimensional slopes by pseudo-dynamic approach

Qiu jing Pan, Xing ru Qu, Xiang Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)

Abstract

Probabilistic analysis is a rational approach for engineering design because it provides more insight than traditional deterministic analysis. Probabilistic evaluation on seismic stability of three dimensional (3D) slopes is studied in this paper. The slope safety factor is computed by combining the kinematic approach of limit analysis using a three-dimensional rotational failure mechanism with the pseudo-dynamic approach. The variability of input parameters, including six pseudo-dynamic parameters and two soil shear strength parameters, are taken into account by means of Monte-Carlo Simulations (MCS) method. The influences of pseudo-dynamic input variables on the computed failure probabilities are investigated and discussed. It is shown that the obtained failure probabilities increase with the pseudo-dynamic input variables and the pseudo-dynamic approach gives more conservative failure probability estimates compared with the pseudo-static approach.

Original languageEnglish
Pages (from-to)1687-1695
Number of pages9
JournalJournal of Central South University
Volume26
Issue number7
DOIs
Publication statusPublished - 1 Jul 2019

Keywords

  • failure probability
  • Monte-Carlo simulation
  • probabilistic analysis
  • pseudo-dynamic analysis
  • seismic slope stability
  • three-dimensional slop

ASJC Scopus subject areas

  • General Engineering
  • Metals and Alloys

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