An efficient framework for particle-fluid interaction using Discrete Element Lattice Boltzmann Method: Coupling scheme and periodic boundary condition
An efficient framework for particle-fluid interaction using Discrete Element Lattice Boltzmann Method: Coupling scheme and periodic boundary condition
复制标题
使用离散元格子玻尔兹曼方法的粒子-流体相互作用的有效框架：耦合方案和周期性边界条件
DOI：
10.1016/j.compfluid.2020.104613
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发表时间：
2020-08
影响因子：
2.8
通讯作者：
Ling Li
中科院分区：
文献类型：
--
作者：
Yilin Chen;Guangqiu Jin;Pei Zhang;S.A. Galindo-Torres;A. Scheuermann;Ling Li
颗粒-流体相互作用的离散模拟在化工、石油、岩土工程等领域具有重要的应用价值。利用浸没边界法将离散元法与格子玻尔兹曼法耦合起来研究颗粒-流体系统已被许多学者采用。然而，要精确模拟流体中大量粒子的行为，需要巨大的计算能力来完全解析每个粒子的运动，并且需要密集搜索粒子之间的接触来解释粒子之间的碰撞。本文提出了一种周期性边界，利用IBM将离散元法和线性边界法耦合起来，并提出了一种有效的粒子接触检测算法，以进一步降低计算量。该模型通过几个定义良好的基准进行了验证，包括：单个颗粒在盒子中的沉降，颗粒在通道中的旋转以及两个沉降盘的众所周知的“牵伸，接吻和翻滚”（DKT）效应。通过对某河道泥沙运动的模拟，验证了模型的适用性，模拟结果与前人的试验结果吻合较好。这些结果显示了该数值模型在研究颗粒-流体相互作用系统中的潜在用途。
Discrete modeling of particle-fluid interaction was of great importance for its wide applications in chemical, petroleum and geotechnical engineering. Using Immersed Boundary Method (IBM) to couple Discrete Element Method (DEM) with Lattice Boltzmann Method (LBM) was adopted by many researchers to study particle-fluid systems. However, to accurately simulate the behavior of a large number of particles in the fluid, a huge computational power wasrequired to fully resolved the motion of each particle and an intensive search of particles’ contacts was needed to account for the collision between particles. In this paper, a periodic boundary was proposed for coupling DEM with LBM using IBM and an efficient particle contact detection algorithm was developed to further reduce the computation cost. The model was validated by several well-defined benchmark including: a single particle settling in a box, particle spinning in a channel and the well-known ‘Drafting, Kissing and Tumbling’ (DKT) effect of two settling disks. The model's applicability was exhibited in the simulation of sediments movement in a channel, which agreed well with previous experiments. These results showed the potential usage of present numerical model to investigate in particle-fluid interaction systems.
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影响因子：
4.6
作者：
Sangmo Kang;Haecheon Choi;Sangsan Lee
通讯作者：
Sangmo Kang;Haecheon Choi;Sangsan Lee
影响因子：
2.4
作者：
Ginzburg, I;d'Humières, D
通讯作者：
d'Humières, D
影响因子：
1.9
作者：
D. Noble;J. Torczynski
通讯作者：
D. Noble;J. Torczynski
DOI：
10.1016/j.cpc.2004.04.004
发表时间：
2003-11
期刊：
Comput. Phys. Commun.
影响因子：
--
作者：
Z. Yao;Jian-Sheng Wang;Gui-rong Liu;Min Cheng
通讯作者：
Z. Yao;Jian-Sheng Wang;Gui-rong Liu;Min Cheng
影响因子：
3.7
作者：
M. Ouriemi;P. Aussillous;É. Guazzelli
通讯作者：
M. Ouriemi;P. Aussillous;É. Guazzelli