Gap-graded soil erosion modes predicted by µ-CT informed graded erosion model and multi-criteria assessment

This study investigates internal erosion in gap-graded gravelly soils, focusing on the critical fine content transition zone (30–35%). By integrating µ-CT imaging, geometric criteria analysis, and a novel predictive model based on the graded erosion principle, we demonstrate that fine particle content governs the transition between suffusion and piping erosion modes. Experimental results reveal that exceeding the 30–35% threshold shifts the soil fabric from a stable coarse-grained skeleton to an “over-filled” structure, where coarse particles float within a fine-dominated matrix, drastically increasing piping susceptibility. A multi-criteria assessment framework validates the limitations of traditional geometric criteria (e.g., Cu, Kenney & Lau) for transitional soils, while the grading entropy criterion offers enhanced robustness. The proposed graded erosion model successfully predicts particle size distribution evolution toward stable Fuller limits and porosity changes by incorporating particle-size-sensitive erosion rates with physical thresholds. This integrated methodology advances the understanding and prediction of internal erosion in gap-graded soils, supporting the design of resilient geotechnical structures and improving infrastructure risk assessment.

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Publication Details

Journal
Scientific Reports
Published
2026-05-17
DOI
https://doi.org/10.1038/s41598-026-48213-y
Primary Topic
Dam Engineering and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Gap-graded soil erosion modes predicted by µ-CT informed graded erosion model and multi-criteria assessment

Yu-Fei Xie, Dai-Rong Su, Jia-Qi Wang, Bin Zhu
Scientific Reports
Dam Engineering and Safety
article

Gap-graded soil erosion modes predicted by µ-CT informed graded erosion model and multi-criteria assessment

Yu-Fei Xie, Dai-Rong Su, Jia-Qi Wang, Bin Zhu
article en

Abstract

This study investigates internal erosion in gap-graded gravelly soils, focusing on the critical fine content transition zone (30–35%). By integrating µ-CT imaging, geometric criteria analysis, and a novel predictive model based on the graded erosion principle, we demonstrate that fine particle content governs the transition between suffusion and piping erosion modes. Experimental results reveal that exceeding the 30–35% threshold shifts the soil fabric from a stable coarse-grained skeleton to an “over-filled” structure, where coarse particles float within a fine-dominated matrix, drastically increasing piping susceptibility. A multi-criteria assessment framework validates the limitations of traditional geometric criteria (e.g., Cu, Kenney & Lau) for transitional soils, while the grading entropy criterion offers enhanced robustness. The proposed graded erosion model successfully predicts particle size distribution evolution toward stable Fuller limits and porosity changes by incorporating particle-size-sensitive erosion rates with physical thresholds. This integrated methodology advances the understanding and prediction of internal erosion in gap-graded soils, supporting the design of resilient geotechnical structures and improving infrastructure risk assessment.

Scientific Reports
Guilin University of Aerospace Technology (CN), Guilin University of Technology (CN)
National Natural Science Foundation of China, Guilin University of Technology
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Dam Engineering and Safety
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