Probabilistic Stability Frameworks of Stone Column–Supported Embankments Considering Failure Mechanisms

Column-supported embankments can exhibit various failure mechanisms when suffering from instabilities. This study presents a novel framework for the probabilistic assessment of stone column–supported embankment stability, focusing specifically on two primary failure modes: lateral sliding and deep-seated failure. The framework introduces the first-order reliability subset simulation method (FORSSM), which integrates the subset simulation (SS) method with the first-order reliability method (FORM). This method substantially improves both accuracy and computational efficiency. On the basis of the framework, variations in input parameters such as the embankment friction angle (ϕemb), embankment unit weight (γemb), soil cohesion (cs), and column friction angle (ϕcol) are considered in terms of failure probabilities and failure mechanisms. Compared with the failure mechanism in the deterministic analysis, the probabilistic results quantitatively show that a high failure probability with a large variation in embankment stability is induced by changes in the failure mechanism. A greater variability of slip surface sizes for various failure mechanisms is revealed in deep-seated failure than in lateral sliding, which is linked with a high failure probability. Furthermore, this study explores the impact of input parameters on the factor of safety via Sobol indices in conjunction with the FORSSM results.

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Publication Details

Journal
International Journal of Geomechanics
Published
2025-10-29
DOI
https://doi.org/10.1061/ijgnai.gmeng-11370
Citations
2
Primary Topic
Geotechnical Engineering and Soil Stabilization
Type
article
Field-Weighted Citation Impact
1.91
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article

Probabilistic Stability Frameworks of Stone Column–Supported Embankments Considering Failure Mechanisms

Jiapeng Zhao, Gang Zheng, Xiaoxuan Yu, Haizuo Zhou
2 citations
International Journal of Geomechanics
Geotechnical Engineering and Soil Stabilization
1.91
article

Probabilistic Stability Frameworks of Stone Column–Supported Embankments Considering Failure Mechanisms

Jiapeng Zhao, Gang Zheng, Xiaoxuan Yu, Haizuo Zhou
article en
2 citations

Abstract

Column-supported embankments can exhibit various failure mechanisms when suffering from instabilities. This study presents a novel framework for the probabilistic assessment of stone column–supported embankment stability, focusing specifically on two primary failure modes: lateral sliding and deep-seated failure. The framework introduces the first-order reliability subset simulation method (FORSSM), which integrates the subset simulation (SS) method with the first-order reliability method (FORM). This method substantially improves both accuracy and computational efficiency. On the basis of the framework, variations in input parameters such as the embankment friction angle (ϕemb), embankment unit weight (γemb), soil cohesion (cs), and column friction angle (ϕcol) are considered in terms of failure probabilities and failure mechanisms. Compared with the failure mechanism in the deterministic analysis, the probabilistic results quantitatively show that a high failure probability with a large variation in embankment stability is induced by changes in the failure mechanism. A greater variability of slip surface sizes for various failure mechanisms is revealed in deep-seated failure than in lateral sliding, which is linked with a high failure probability. Furthermore, this study explores the impact of input parameters on the factor of safety via Sobol indices in conjunction with the FORSSM results.

International Journal of GeomechanicsVol. 26(1)
Tianjin University (CN)
Openalex Percentile: Top 13%
Geotechnical Engineering and Soil Stabilization
1.91
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