Effect of spatial variability on the slope stability using Random Field Numerical Limit Analyses

Kiyonobu Kasama, Andrew J. Whittle

研究成果: Contribution to journalArticle査読

27 被引用数 (Scopus)

抄録

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 (NLAs). The undrained shear strength and unit weight of soil are treated as a random field which is characterized by a log-normal distribution and a spatial correlation length. The current calculations use a Cholesky Decomposition technique to incorporate these random properties in NLAs. The Random Field Numerical Limit Analyses are applied to evaluate the effects of spatial variability of soil property on the slope stability and failure mechanism of slope. Monte Carlo iterations are then used to interpret the slope reliability and the dimension for collapsed slope for selected ranges of the coefficient of variation in soil property and the ratio of correlation length to slope height. Finally, the variation in the dimension of collapsed slope is examined in terms of the variability of slope reliability.

本文言語英語
ページ(範囲)42-54
ページ数13
ジャーナルGeorisk
10
1
DOI
出版ステータス出版済み - 1 2 2016

All Science Journal Classification (ASJC) codes

  • 土木構造工学
  • 建築および建設
  • 安全性、リスク、信頼性、品質管理
  • 地盤工学および土木地質学
  • 地質学

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