A coupled PFEM-DEM model for fluid-granular flows with free surface dynamics applied to landslides

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Thomas Leyssens, Michel Henry, Jonathan Lambrechts, Vincent Legat, Jean-François Remacle
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引用次数: 0

Abstract

Free surface and granular fluid mechanics problems combine the challenges of fluid dynamics with aspects of granular behaviour. This type of problem is particularly relevant in contexts such as the flow of sediments in rivers, the movement of granular soils in reservoirs, or the interactions between a fluid and granular materials in industrial processes such as silos. The numerical simulation of these phenomena is challenging because the solution depends not only on the multiple phases that strongly interact with each other, but also on the need to describe the geometric evolution of the different interfaces. This paper presents an approach to the simulation of fluid-granular phenomena involving strongly deforming free surfaces. The Discrete Element Method (DEM) is combined with the Particle Finite Element Method (PFEM) and the fluid–grain interface is treated by a two-way coupling between the two phases. The fluid-air interface is solved by a free surface model. The geometric and topological variations are therefore naturally provided by the full Lagrangian description of all phases. The approach is validated on benchmark test cases such as two-phase dam failures and then applied to a historical landslide event.
基于自由面动力学的流-粒流耦合pmam - dem模型在滑坡中的应用
自由表面和颗粒流体力学问题将流体动力学的挑战与颗粒行为的各个方面结合起来。这种类型的问题在诸如河流中沉积物的流动、水库中颗粒土壤的运动或诸如筒仓等工业过程中流体和颗粒材料之间的相互作用等环境中特别相关。这些现象的数值模拟具有挑战性,因为解决方案不仅取决于相互强烈相互作用的多个相,而且还需要描述不同界面的几何演化。本文提出了一种涉及强变形自由表面的流体颗粒现象的模拟方法。将离散元法(DEM)与颗粒有限元法(PFEM)相结合,采用两相双向耦合的方法处理流粒界面。流体-空气界面采用自由曲面模型求解。因此,所有相的完整拉格朗日描述自然提供了几何和拓扑变化。该方法在两期溃坝等基准试验案例中得到验证,并应用于历史滑坡事件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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