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Simplified slope reliability analysis considering spatial soil variability
AbstractDue to inherent spatial variability, soil properties vary from one location to another even within one soil layer. Such spatial variability of soils gives rise to scale-dependency in slope safety evaluation. This paper presents a simplified reliability method for slopes considering spatial soil variability. In this method, equivalent homogeneous random soil parameters are used in a single random variable (SRV) method (e.g., the first-order reliability method) to evaluate the slope reliability. Spatial variability is considered by using the equivalent parameters such that a SRV method with these equivalent parameters produces a comparable failure probability as that calculated using a more rigorous random finite element/difference method (RFEM/RFDM) with the original spatially variable parameters. Empirical equations for determining the statistics (mean value and standard deviation) of the equivalent parameters are derived through extensive RFDM analyses. The proposed method is found to be valid for both single-layered and two-layered slopes.
HighlightsA simplified reliability method is proposed for practical geotechnical design.Equivalent random parameters are derived to consider the spatial variability.The equivalent mean and standard deviation are both smaller than the point values.Slope reliability is evaluated using routine methods with the equivalent parameters.The proposed method significantly reduces the computational efforts.
Simplified slope reliability analysis considering spatial soil variability
AbstractDue to inherent spatial variability, soil properties vary from one location to another even within one soil layer. Such spatial variability of soils gives rise to scale-dependency in slope safety evaluation. This paper presents a simplified reliability method for slopes considering spatial soil variability. In this method, equivalent homogeneous random soil parameters are used in a single random variable (SRV) method (e.g., the first-order reliability method) to evaluate the slope reliability. Spatial variability is considered by using the equivalent parameters such that a SRV method with these equivalent parameters produces a comparable failure probability as that calculated using a more rigorous random finite element/difference method (RFEM/RFDM) with the original spatially variable parameters. Empirical equations for determining the statistics (mean value and standard deviation) of the equivalent parameters are derived through extensive RFDM analyses. The proposed method is found to be valid for both single-layered and two-layered slopes.
HighlightsA simplified reliability method is proposed for practical geotechnical design.Equivalent random parameters are derived to consider the spatial variability.The equivalent mean and standard deviation are both smaller than the point values.Slope reliability is evaluated using routine methods with the equivalent parameters.The proposed method significantly reduces the computational efforts.
Simplified slope reliability analysis considering spatial soil variability
Li, Xue-You (author) / Zhang, Li-Min (author) / Gao, Liang (author) / Zhu, Hong (author)
Engineering Geology ; 216 ; 90-97
2016-11-16
8 pages
Article (Journal)
Electronic Resource
English
Simplified slope reliability analysis considering spatial soil variability
Online Contents | 2016
|Simplified slope reliability analysis considering spatial soil variability
British Library Online Contents | 2017
|Simplified slope reliability analysis considering spatial soil variability
Online Contents | 2017
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