Numerical Study on Redbed Slope Stability Under Multi-Factor Conditions

Redbed soft rocks, widely distributed in China, are highly susceptible to weathering, disintegration, and strength reduction under environmental and engineering disturbances, posing critical challenges for slope stability. This study investigates the stability and failure mechanisms of high road-cut slopes in redbed regions under excavation, seismic, and rainfall conditions. Numerical simulations were conducted based on actual engineering sites, using the FLAC3D finite difference model to simulate conditions typical of these sites while incorporating realistic geological features such as weak interlayers and fluid–solid coupling effects. Results reveal that under excavation, the slope exhibits displacement discontinuities and stress concentration near weak interlayers. However, the safety factor of the redbed slope remains at 1.58 at this stage, suggesting that large-scale collapses or landslides are unlikely. Seismic loading amplifies displacements and accelerations, with the maximum deformation reaching a shear displacement of 0.81 m, observed in the upper sections of the redbed slope. Under prolonged rainfall, the slope experiences increased saturation and sliding along interlayer surfaces, driven by reduced shear strength. Combined influences of these factors highlight the vulnerability of redbed slopes to localized failure in weakly weathered zones, necessitating targeted reinforcement strategies. These findings provide a deeper understanding of redbed slope behavior under complex conditions, addressing key challenges in geotechnical and transportation infrastructure engineering.

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Publication Details

Journal
Applied Sciences
Published
2025-02-26
DOI
https://doi.org/10.3390/app15052502
Citations
3
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
3.91
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article

Numerical Study on Redbed Slope Stability Under Multi-Factor Conditions

Jiujiang Wu, Hanglin Li, Hua Wen, Teng Pang
3 citations
Applied Sciences
Geotechnical Engineering and Analysis
3.91
article

Numerical Study on Redbed Slope Stability Under Multi-Factor Conditions

Jiujiang Wu, Hanglin Li, Hua Wen, Teng Pang
article en
3 citations

Abstract

Redbed soft rocks, widely distributed in China, are highly susceptible to weathering, disintegration, and strength reduction under environmental and engineering disturbances, posing critical challenges for slope stability. This study investigates the stability and failure mechanisms of high road-cut slopes in redbed regions under excavation, seismic, and rainfall conditions. Numerical simulations were conducted based on actual engineering sites, using the FLAC3D finite difference model to simulate conditions typical of these sites while incorporating realistic geological features such as weak interlayers and fluid–solid coupling effects. Results reveal that under excavation, the slope exhibits displacement discontinuities and stress concentration near weak interlayers. However, the safety factor of the redbed slope remains at 1.58 at this stage, suggesting that large-scale collapses or landslides are unlikely. Seismic loading amplifies displacements and accelerations, with the maximum deformation reaching a shear displacement of 0.81 m, observed in the upper sections of the redbed slope. Under prolonged rainfall, the slope experiences increased saturation and sliding along interlayer surfaces, driven by reduced shear strength. Combined influences of these factors highlight the vulnerability of redbed slopes to localized failure in weakly weathered zones, necessitating targeted reinforcement strategies. These findings provide a deeper understanding of redbed slope behavior under complex conditions, addressing key challenges in geotechnical and transportation infrastructure engineering.

Applied SciencesVol. 15(5)
Western University (CA), Southwest University of Science and Technology (CN)
Openalex Percentile: Top 8%
Geotechnical Engineering and Analysis
3.91
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Numerical Study on Redbed Slope Stability Under Multi-Factor Conditions — Jiujiang Wu, Hanglin Li, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS