Risk assessment of slope failure considering the variability in soil properties

To assess the risk of slope failure, this study employs a rigorous method that is referred to as the random finite difference method (RFDM). The RFDM is capable of considering the spatial variability of soil properties subject to different auto-correlation structures. Comparisons with the collected...

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Bibliographic Details
Published inComputers and geotechnics Vol. 103; pp. 61 - 72
Main Authors Cheng, Hongzhan, Chen, Jian, Chen, Renpeng, Chen, Guoliang, Zhong, Yu
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 01.11.2018
Elsevier BV
Subjects
Anisotropy
Auto-correlation structures
Autocorrelation
Correlation
Correlation analysis
Failure
Finite difference method
Parametric analysis
Random field
Reliability
Risk analysis
Risk assessment
Slip mass
Slope
Slope failure
Soil
Soil properties
Soils
Spatial variations
Variability
Random field
Auto-correlation structures
Slope failure
Risk analysis
Slip mass
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Summary:To assess the risk of slope failure, this study employs a rigorous method that is referred to as the random finite difference method (RFDM). The RFDM is capable of considering the spatial variability of soil properties subject to different auto-correlation structures. Comparisons with the collected data are made with respect to two idealized slopes, and a parametric analysis is presented. The results demonstrate that the spatial auto-correlation structures significantly affect the slope failure risk. Depending on the rotated angle, the rotated anisotropy auto-correlation structure shows a dual effect on the reliability of the slope compared to a transverse anisotropy case.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0266-352X
1873-7633
DOI:10.1016/j.compgeo.2018.07.006