Abstract
This paper presents numerical simulation and analysis of two numerical experiments of wet soil granular flow down inclined chutes based on the JKR(Johnson-Kendall-Roberts)-cohesion model of the discrete element method. JKR is a cohesive contact model, which can reflect the influence of van der Waals forces in the contact range to simulate cohesive granular matter. A surface energy coefficient kw was proposed to reflect the liquid surface tension between particles, and maximum surface energy (γmax) of wet soil composed of uniform particles was obtained at 0.2 J/m2. Computational results show that surface energy (γ) and granular size play significant roles in the simulation of wet soil granular flow. The larger surface energy is, and the stronger of adhesion between soil grains. Besides, surface energy also has a great effect on the average velocity and kinetic energy of the moist soil avalanches. With baffles on both sides of the inclined chute, the dry soil granular flow has the longest runout distance on the horizontal plane; with the increase of surface energy, the runout distance decreased gradually. However, without baffles on both sides of the geometric model, the runout distance of wet soil granular flow is farther, though expansion to the sides is more obvious. Wet soil with larger grains requires larger surface energy to maintain the soil structure intact during the sliding process. Furthermore, with the increase of granular size, the soil structure is not compact enough, and the cohesion between water and soil grains is extremely poor, which lead to the impact scope expanded of wet soil landslide disasters.
Highlights
In recent years, a large amount of soil avalanches have occurred in wet loose deposits in southwestern China, which usually led to road collapses, vehicle damages and casualties; soil granular flows are characterized by high density, impact force and destructiveness [1], and excessive floods is the key factor to induce these geologic hazards [2,3]
The wet soil granular flow model was imported into the commercial software EDEM for simulation, computational efficiency is limited by the large number of granular elements, 3
A JKR-cohesion model based on 3D discrete element method (DEM) was shown to be suitable for modeling this study, JKR-cohesion model After basedthe onDEM
Summary
A large amount of soil avalanches have occurred in wet loose deposits in southwestern China, which usually led to road collapses, vehicle damages and casualties; soil granular flows are characterized by high density, impact force and destructiveness [1], and excessive floods is the key factor to induce these geologic hazards [2,3]. The essence of soil landslides is the movement of wet particulate matter. In order to further explore the nature of soil landslides [6,7], it is necessary to start with the study of wet soil granular matter. The granular simulation includes laboratory test and numerical analysis mainly [8,9]. The discrete element method (DEM) is a commonly used numerical analysis method which is usually employed to simulate the motion of particles [10,11]. DEM is a meshless method initially proposed by Cundall and Strack, which models the motion of individual particles within a granular mass [12,13]. A three-dimensional dry granular flow is numerically modeled to study
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