Parametric Study of Rainfall-Induced Instability in Fine-Grained Sandy Soil

This study investigates the stability of fine-grained sandy soil slopes under varying rainfall intensities, durations, and geotechnical properties using a parametric analysis within GeoStudio. A total of 4416 unique parameter combinations were analyzed, incorporating variations in unit weight, cohesion, friction angle, slope inclination, slope height, rainfall intensity, and duration. Results reveal that rainfall intensity is the most influential variable on the factor of safety (FS), with higher intensities (e.g., 360 mm/h) on steeper slopes (e.g., 45°) leading to critical FS values below 1, indicating an imminent risk of failure. Under moderate conditions (e.g., 9 mm/h rainfall on slopes of 26.6°), the FS remains above 2. This dataset provides a valuable foundation for training machine learning models to predict slope stability under diverse environmental conditions, contributing to the development of early warning systems for rainfall-induced landslides.

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Publication Details

Journal
Geotechnics
Published
2024-11-13
DOI
https://doi.org/10.3390/geotechnics4040059
Citations
5
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
3.55
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article

Parametric Study of Rainfall-Induced Instability in Fine-Grained Sandy Soil

M. Hesham El Naggar, Samuel A. Espinosa F.
5 citations
Geotechnics
Landslides and related hazards
3.55
article

Parametric Study of Rainfall-Induced Instability in Fine-Grained Sandy Soil

M. Hesham El Naggar, Samuel A. Espinosa F.
article en
5 citations

Abstract

This study investigates the stability of fine-grained sandy soil slopes under varying rainfall intensities, durations, and geotechnical properties using a parametric analysis within GeoStudio. A total of 4416 unique parameter combinations were analyzed, incorporating variations in unit weight, cohesion, friction angle, slope inclination, slope height, rainfall intensity, and duration. Results reveal that rainfall intensity is the most influential variable on the factor of safety (FS), with higher intensities (e.g., 360 mm/h) on steeper slopes (e.g., 45°) leading to critical FS values below 1, indicating an imminent risk of failure. Under moderate conditions (e.g., 9 mm/h rainfall on slopes of 26.6°), the FS remains above 2. This dataset provides a valuable foundation for training machine learning models to predict slope stability under diverse environmental conditions, contributing to the development of early warning systems for rainfall-induced landslides.

GeotechnicsVol. 4(4)
Western University (CA)
Openalex Percentile: Top 7%
Landslides and related hazards
3.55
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Parametric Study of Rainfall-Induced Instability in Fine-Grained Sandy Soil — M. Hesham El Naggar, Samuel A. Espinosa F. · Geotechnics (2024) | TGRS Research Map | TGRS