A new combined finite-discrete element method for stability analysis of soil-rock mixture slopes

Purpose The purpose of this paper is to propose a new combined finite-discrete element method (FDEM) to analyze the mechanical properties, failure behavior and slope stability of soil rock mixtures (SRM), in which the rocks within the SRM model have shape randomness, size randomness and spatial distribution randomness. Design/methodology/approach Based on the modeling method of heterogeneous rocks, the SRM numerical model can be built and by adjusting the boundary between soil and rock, an SRM numerical model with any rock content can be obtained. The reliability and robustness of the new modeling method can be verified by uniaxial compression simulation. In addition, this paper investigates the effects of rock topology, rock content, slope height and slope inclination on the stability of SRM slopes. Findings Investigations of the influences of rock content, slope height and slope inclination of SRM slopes showed that the slope height had little effect on the failure mode. The influences of rock content and slope inclination on the slope failure mode were significant. With increasing rock content and slope dip angle, SRM slopes gradually transitioned from a single shear failure mode to a multi-shear fracture failure mode, and shear fractures showed irregular and bifurcated characteristics in which the cut-off values of rock content and slope inclination were 20% and 80°, respectively. Originality/value This paper proposed a new modeling method for SRMs based on FDEM, with rocks having random shapes, sizes and spatial distributions.

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Publication Details

Journal
Engineering Computations
Published
2024-09-20
DOI
https://doi.org/10.1108/ec-12-2023-0934
Citations
7
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
2.55
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article

A new combined finite-discrete element method for stability analysis of soil-rock mixture slopes

Haifeng Lu, Penghai Deng, Quansheng Liu
7 citations
Engineering Computations
Geotechnical Engineering and Analysis
2.55
article

A new combined finite-discrete element method for stability analysis of soil-rock mixture slopes

Haifeng Lu, Penghai Deng, Quansheng Liu
article en
7 citations

Abstract

Purpose The purpose of this paper is to propose a new combined finite-discrete element method (FDEM) to analyze the mechanical properties, failure behavior and slope stability of soil rock mixtures (SRM), in which the rocks within the SRM model have shape randomness, size randomness and spatial distribution randomness. Design/methodology/approach Based on the modeling method of heterogeneous rocks, the SRM numerical model can be built and by adjusting the boundary between soil and rock, an SRM numerical model with any rock content can be obtained. The reliability and robustness of the new modeling method can be verified by uniaxial compression simulation. In addition, this paper investigates the effects of rock topology, rock content, slope height and slope inclination on the stability of SRM slopes. Findings Investigations of the influences of rock content, slope height and slope inclination of SRM slopes showed that the slope height had little effect on the failure mode. The influences of rock content and slope inclination on the slope failure mode were significant. With increasing rock content and slope dip angle, SRM slopes gradually transitioned from a single shear failure mode to a multi-shear fracture failure mode, and shear fractures showed irregular and bifurcated characteristics in which the cut-off values of rock content and slope inclination were 20% and 80°, respectively. Originality/value This paper proposed a new modeling method for SRMs based on FDEM, with rocks having random shapes, sizes and spatial distributions.

Engineering ComputationsVol. 41(8/9)
Wuhan University (CN)
Openalex Percentile: Top 11%
Geotechnical Engineering and Analysis
2.55
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A new combined finite-discrete element method for stability analysis of soil-rock mixture slopes — Haifeng Lu, Penghai Deng, et al. · Engineering Computations (2024) | TGRS Research Map | TGRS