Influence of asynchronism between the spatial distribution of the hydraulic conductivity and shear strength parameters on the reliability assessment and failure mechanism of layered slopes

The spatial distributions of hydraulic conductivity and shear strength parameters are influenced by the soil structure, property and mineral composition. However, hydraulic conductivity is not only determined by the intrinsic soil property but also influenced by external factors such as fractures and interlayers. This study investigates the impact of the asynchronism between the spatial distribution of hydraulic conductivity and shear strength parameters on the reliability assessment and failure mechanism of unsaturated soil slopes with different titled stratifications under rainfall conditions. The results indicate that the asynchronism in the rotational angles (α) of hydraulic conductivity and shear strength parameters shows the greatest impact on the probability of failure (P<sub>f</sub>) of slopes. By contrast, the asynchronism in the scales of fluctuation of hydraulic conductivity and shear strength parameters and employing different autocorrelation functions (ACFs) show minor impact on the P<sub>f</sub>. The impact of using different ACFs, α, and scales of fluctuation to characterise the spatial variability of hydraulic conductivity on sliding mass and failure modes is minimal.

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Publication Details

Journal
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
Published
2025-02-23
DOI
https://doi.org/10.1080/17499518.2025.2466184
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00

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article

Influence of asynchronism between the spatial distribution of the hydraulic conductivity and shear strength parameters on the reliability assessment and failure mechanism of layered slopes

Haowen Guo, Jing-Ze Li, Han Han, Leilei Liu
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
Landslides and related hazards
article

Influence of asynchronism between the spatial distribution of the hydraulic conductivity and shear strength parameters on the reliability assessment and failure mechanism of layered slopes

Haowen Guo, Jing-Ze Li, Han Han, Leilei Liu
article en

Abstract

The spatial distributions of hydraulic conductivity and shear strength parameters are influenced by the soil structure, property and mineral composition. However, hydraulic conductivity is not only determined by the intrinsic soil property but also influenced by external factors such as fractures and interlayers. This study investigates the impact of the asynchronism between the spatial distribution of hydraulic conductivity and shear strength parameters on the reliability assessment and failure mechanism of unsaturated soil slopes with different titled stratifications under rainfall conditions. The results indicate that the asynchronism in the rotational angles (α) of hydraulic conductivity and shear strength parameters shows the greatest impact on the probability of failure (P<sub>f</sub>) of slopes. By contrast, the asynchronism in the scales of fluctuation of hydraulic conductivity and shear strength parameters and employing different autocorrelation functions (ACFs) show minor impact on the P<sub>f</sub>. The impact of using different ACFs, α, and scales of fluctuation to characterise the spatial variability of hydraulic conductivity on sliding mass and failure modes is minimal.

Georisk Assessment and Management of Risk for Engineered Systems and GeohazardsVol. 20(1)
Central South University (CN), Hong Kong University of Science and Technology (HK)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 96%
Landslides and related hazards
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Influence of asynchronism between the spatial distribution of the hydraulic conductivity and shear strength parameters on the reliability assessment and failure mechanism of layered slopes — Haowen Guo, Jing-Ze Li, et al. · Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2025) | TGRS Research Map | TGRS