Yi-Yang Shen , Liu-chao Qiu , Tang-Jing Yuan , Yi Liu
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Three-dimensional simulation of cohesive granular flows using lattice Boltzmann method with a μ(I)-rheology-based viscoplastic model
This paper introduces a novel three-dimensional numerical framework by combining the free-surface lattice Boltzmann method (LBM) with a μ(I)-rheology-based viscoplastic model for simulating cohesive granular flows. The proposed method aims to provide an accurate and efficient modelling of granular flow with a free-surface. In the present method, the evolution of the granular-air interface is modeled through a single-phase free-surface approach. A novel μ(I)-rheology-based viscoplastic model is used to describe the mechanical response of the granular material. We investigated the performance of the lattice Boltzmann method in conjunction with the μ(I)-rheology within a continuum framework, particularly examining how cohesion influences flow dynamics and the rheological properties of granular materials. A benchmark simulation of cohesive granular collapse is first presented, showing that the LBM results are in strong agreement with experimental data. The effect of aspect ratio on the final deposit shape and instability modes during column collapse is also verified. Finally, the sensitivity of the model’s parameters is assessed for the combined LBM and μ(I)-rheology approach. The findings demonstrate that the proposed LBM framework can accurately capture the flow characteristics of cohesive granular flows.
期刊介绍:
The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper.
Computer Programs in Physics (CPiP)
These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged.
Computational Physics Papers (CP)
These are research papers in, but are not limited to, the following themes across computational physics and related disciplines.
mathematical and numerical methods and algorithms;
computational models including those associated with the design, control and analysis of experiments; and
algebraic computation.
Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.