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Full probabilistic design of slopes in spatially variable soils using simplified reliability analysis method
A simplified reliability analysis method is proposed for efficient full probabilistic design of soil slopes in spatially variable soils. The soil slope is viewed as a series system comprised of numerous potential slip surfaces and the spatial variability of soil properties is modelled by the spatial averaging technique along potential slip surfaces. The proposed approach not only provides sufficiently accurate reliability estimates of slope stability, but also significantly improves the computational efficiency of soil slope design in comparison with simulation-based full probabilistic design. It is found that the spatial variability has considerable effects on the optimal slope design.
Full probabilistic design of slopes in spatially variable soils using simplified reliability analysis method
A simplified reliability analysis method is proposed for efficient full probabilistic design of soil slopes in spatially variable soils. The soil slope is viewed as a series system comprised of numerous potential slip surfaces and the spatial variability of soil properties is modelled by the spatial averaging technique along potential slip surfaces. The proposed approach not only provides sufficiently accurate reliability estimates of slope stability, but also significantly improves the computational efficiency of soil slope design in comparison with simulation-based full probabilistic design. It is found that the spatial variability has considerable effects on the optimal slope design.
Full probabilistic design of slopes in spatially variable soils using simplified reliability analysis method
Xiao, Te (author) / Li, Dian-Qing (author) / Cao, Zi-Jun (author) / Tang, Xiao-Song (author)
2017-01-02
14 pages
Article (Journal)
Electronic Resource
English
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