Probabilistic failure assessment of bolt-stabilized pro-dip slopes considering shear effect

This study presents a probabilistic failure assessment model for bolt-stabilized pro-dip slopes, explicitly addressing the critical yet overlooked shear effect in conventional stability analyses. Conventional analytical approaches oversimplify the mechanical interactions between sliding slope masses and stabilizing bolts through the assumption of uniaxial tensile loading, thereby neglecting the combined tensile-shear stress states observed in real-world scenarios. To bridge this gap, the proposed model integrates force and moment equilibrium analyses, adopts the von Mises strength criterion for bolt rupture assessment, and systematically incorporates bedrock stratigraphy through differentiated parameter assignments. A comprehensive Monte Carlo simulation framework quantifies failure probabilities across three dominant modes: tensile-shear failure of bolts, rock-grout bond failure, and grout-bolt bond failure. Validation through the Freeway No.3 landslide case study demonstrates that shear-inclusive calculations yield significantly higher failure probabilities (exceeding 80% underestimation in shear-neglected models under high groundwater conditions). Parametric analyses reveal distinct behavioral regimes governed by bolt inclination, fixed length, and hydrological factors. The results emphasize that shear effect fundamentally alters failure mode dominance, with bolt failure becoming predominant under realistic stress conditions. This work provides a critical advancement in reliability-based design for pro-dip slopes, offering engineers a tool to mitigate catastrophic risks through physics-informed probabilistic assessments.

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Publication Details

Journal
Scientific Reports
Published
2025-05-26
DOI
https://doi.org/10.1038/s41598-025-02920-0
Citations
2
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
2.61

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article

Probabilistic failure assessment of bolt-stabilized pro-dip slopes considering shear effect

Yahui Zhang, Ding-Jian Wang, Zhiyuan Cheng, Yulan Wang
2 citations
Scientific Reports
Geotechnical Engineering and Analysis
2.61
article

Probabilistic failure assessment of bolt-stabilized pro-dip slopes considering shear effect

Yahui Zhang, Ding-Jian Wang, Zhiyuan Cheng, Yulan Wang
article en
2 citations

Abstract

This study presents a probabilistic failure assessment model for bolt-stabilized pro-dip slopes, explicitly addressing the critical yet overlooked shear effect in conventional stability analyses. Conventional analytical approaches oversimplify the mechanical interactions between sliding slope masses and stabilizing bolts through the assumption of uniaxial tensile loading, thereby neglecting the combined tensile-shear stress states observed in real-world scenarios. To bridge this gap, the proposed model integrates force and moment equilibrium analyses, adopts the von Mises strength criterion for bolt rupture assessment, and systematically incorporates bedrock stratigraphy through differentiated parameter assignments. A comprehensive Monte Carlo simulation framework quantifies failure probabilities across three dominant modes: tensile-shear failure of bolts, rock-grout bond failure, and grout-bolt bond failure. Validation through the Freeway No.3 landslide case study demonstrates that shear-inclusive calculations yield significantly higher failure probabilities (exceeding 80% underestimation in shear-neglected models under high groundwater conditions). Parametric analyses reveal distinct behavioral regimes governed by bolt inclination, fixed length, and hydrological factors. The results emphasize that shear effect fundamentally alters failure mode dominance, with bolt failure becoming predominant under realistic stress conditions. This work provides a critical advancement in reliability-based design for pro-dip slopes, offering engineers a tool to mitigate catastrophic risks through physics-informed probabilistic assessments.

Scientific ReportsVol. 15(1)
China University of Geosciences (CN), Institute of Disaster Prevention (CN)
National Natural Science Foundation of China, Hubei University of Education, Hubei University, Economic and Social Research Council
Climate action
Openalex Percentile: Top 12%
Geotechnical Engineering and Analysis
2.61
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