Title: Image analysis for meso-structural seepage behaviours on pore-scale granular soil: implied in the transition rules of erosion mode

Authors: Bin Zhu; Jun Chen; Mei Zhou; Dexian Liang; Qiaohui Pi

Addresses: College of Earth Sciences, Guilin University of Technology, Guangxi 541004, China ' College of Earth Sciences, Guilin University of Technology, Guangxi 541004, China ' College of Earth Sciences, Guilin University of Technology, Guangxi 541004, China ' College of Earth Sciences, Guilin University of Technology, Guangxi 541004, China ' College of Earth Sciences, Guilin University of Technology, Guangxi 541004, China

Abstract: This study explores the meso-structural characteristics and erosion stability of three groups of gap-graded gravel soils using pore-scale seepage simulations and grading entropy analysis. It examines how heterogeneity in the distribution of fine particles influences pore-pressure concentration and fluid flow dynamics by analysing and simulating image-based models of three groups of gravel soil specimens. Results indicate that specimens with lower fine grain content exhibit more uniform pore-pressure distribution and enhanced erosion stability due to the structural support provided by coarse grains forming a stable skeleton. Evaluation across grading entropy and Kenney and Lau's criterion highlights the critical role of finer grain content, i.e., the value of ɸc, in determining internal erosion susceptibility. Despite minor variations in optimal finer-grain content criteria, the findings underscore a conservative approach to stability assessment consistent with established criteria.

Keywords: meso-structure; granular soil; erosion mode; fine grain content; permeability; grading entropy.

DOI: 10.1504/IJMME.2024.142843

International Journal of Mining and Mineral Engineering, 2024 Vol.15 No.4, pp.416 - 435

Received: 14 Mar 2024
Accepted: 10 Jul 2024

Published online: 28 Nov 2024 *

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