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Probabilistic Analysis of Slopes with Linearly Increasing Undrained Shear Strength Using RLEM Approach
https://orcid.org/http://orcid.org/0000-0002-7950-322X
Shear strength parameters in naturally alluvial deposits bear variation with depth (non-stationarity). Probabilistic analysis of simple slopes with linearly increasing (mean) undrained shear strength with depth and spatial variability is explored using the 2D random limit equilibrium method (RLEM) along with the non-circular failure surface assumption. A deterministic factor of safety design chart method is extended to express margins of safety as probability of failure for soils with random variability and positive correlation between shear strength parameters and unit weight. The effects of isotropic and anisotropic spatial variability and cross-correlation of soil properties on probability of failure are also investigated. Combinations of low correlation length and positive cross-correlation between strength parameters are shown to reduce the probability of failure. This offers the possibility to bring probabilistic estimates of failure into alignment with expectations of slope stability based on experience with factors of safety. The results of a limited number of RLEM analyses are compared with some other results using the 2D random finite element method (RFEM). The influence of different involved parameters and assumptions, more specifically the nonlinear variation of the undrained cohesion and also the non-circular slip surface, on the embedded uncertainty and probability of failure was elaborated. The research has emphasized the importance of non-circular failure surface assumption along with the consideration of non-stationarity in shear strength parameters.
Probabilistic Analysis of Slopes with Linearly Increasing Undrained Shear Strength Using RLEM Approach
https://orcid.org/http://orcid.org/0000-0002-7950-322X
Shear strength parameters in naturally alluvial deposits bear variation with depth (non-stationarity). Probabilistic analysis of simple slopes with linearly increasing (mean) undrained shear strength with depth and spatial variability is explored using the 2D random limit equilibrium method (RLEM) along with the non-circular failure surface assumption. A deterministic factor of safety design chart method is extended to express margins of safety as probability of failure for soils with random variability and positive correlation between shear strength parameters and unit weight. The effects of isotropic and anisotropic spatial variability and cross-correlation of soil properties on probability of failure are also investigated. Combinations of low correlation length and positive cross-correlation between strength parameters are shown to reduce the probability of failure. This offers the possibility to bring probabilistic estimates of failure into alignment with expectations of slope stability based on experience with factors of safety. The results of a limited number of RLEM analyses are compared with some other results using the 2D random finite element method (RFEM). The influence of different involved parameters and assumptions, more specifically the nonlinear variation of the undrained cohesion and also the non-circular slip surface, on the embedded uncertainty and probability of failure was elaborated. The research has emphasized the importance of non-circular failure surface assumption along with the consideration of non-stationarity in shear strength parameters.
Probabilistic Analysis of Slopes with Linearly Increasing Undrained Shear Strength Using RLEM Approach
https://orcid.org/http://orcid.org/0000-0002-7950-322X
Shear strength parameters in naturally alluvial deposits bear variation with depth (non-stationarity). Probabilistic analysis of simple slopes with linearly increasing (mean) undrained shear strength with depth and spatial variability is explored using the 2D random limit equilibrium method (RLEM) along with the non-circular failure surface assumption. A deterministic factor of safety design chart method is extended to express margins of safety as probability of failure for soils with random variability and positive correlation between shear strength parameters and unit weight. The effects of isotropic and anisotropic spatial variability and cross-correlation of soil properties on probability of failure are also investigated. Combinations of low correlation length and positive cross-correlation between strength parameters are shown to reduce the probability of failure. This offers the possibility to bring probabilistic estimates of failure into alignment with expectations of slope stability based on experience with factors of safety. The results of a limited number of RLEM analyses are compared with some other results using the 2D random finite element method (RFEM). The influence of different involved parameters and assumptions, more specifically the nonlinear variation of the undrained cohesion and also the non-circular slip surface, on the embedded uncertainty and probability of failure was elaborated. The research has emphasized the importance of non-circular failure surface assumption along with the consideration of non-stationarity in shear strength parameters.
Probabilistic Analysis of Slopes with Linearly Increasing Undrained Shear Strength Using RLEM Approach
Transp. Infrastruct. Geotech.
Javankhoshdel, Sina (author) / Cami, Brigid (author) / Chenari, Reza Jamshidi (author) / Dastpak, Pooya (author)
Transportation Infrastructure Geotechnology ; 8 ; 114-141
2021-03-01
28 pages
Article (Journal)
Electronic Resource
English
Probabilistic stability analyses of undrained slopes with linearly increasing mean strength
| Online Contents | 2017