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Title: Rock-soil slope stability analysis by two-phase random media and finite elements
Authors: Liu, Y.
Xiao, H. 
Yao, K. 
Hu, J.
Wei, H.
Keywords: Finite-element modelling
Monte-Carlo simulations
Numerical computation
Random fields
Slopes stability
Statistical analysis
Issue Date: 2018
Publisher: Elsevier B.V.
Citation: Liu, Y., Xiao, H., Yao, K., Hu, J., Wei, H. (2018). Rock-soil slope stability analysis by two-phase random media and finite elements. Geoscience Frontiers 9 (6) : 1649-1655. ScholarBank@NUS Repository.
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: To investigate the strong random nature of the geometric interfaces between soil and rock, a rock-soil slope is considered as a two-phase random medium. A nonlinear translation of a Gaussian field is utilized to simulate the two-phase random media, such that the soil (or rock) volume fraction and the inclination of the soil layer can be examined. The finite element method with random media incorporated as the material properties is used to determine the factor of safety of the rock-soil slope. Monte-Carlo simulations are used to estimate the statistical characteristics of the factor of safety. The failure mode of the rock-soil slope is examined by observing the maximum principal plastic strain at incipient slope failure. It is found that the critical surface of a rock-soil slope is fairly irregular, and it significantly differs from that of a pure soil slope. The factor of safety is sensitive to the soil volume faction, but it is predictable. The average factor of safety could be well predicted by the weighted harmonic average between the strength of soil and rock; the prediction model is practical and simple. Parametric studies on the inclination of the soil layer demonstrate that the most instable scenario occurs when the slope angle is consistent with the inclination of the soil layer. © 2017 China University of Geosciences (Beijing) and Peking University
Source Title: Geoscience Frontiers
ISSN: 1674-9871
DOI: 10.1016/j.gsf.2017.10.007
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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