物理
格子Boltzmann方法
离散元法
机械
统计物理学
玻尔兹曼方程
能量传输
经典力学
计算流体力学
流体力学
格子(音乐)
工程物理
热力学
声学
作者
Dian Fan,Huilin Hou,Junsheng Zeng,Bin Yuan,Zhuojian Lv,Yaoming Chen,Yue Li,Siyuan Huang,Alberto Striolo,Dongxiao Zhang
出处
期刊:Physics of Fluids
[American Institute of Physics]
日期:2024-08-01
卷期号:36 (8)
被引量:3
摘要
Understanding the behavior of dispersed particles in subsurface porous media is essential for studying many transport phenomena in geo-energy exploration. Relevant phenomena include fluid transport through rock matrices, undesirable production of formation sands, colloid migration, circulation of drilling cuttings, and displacement of proppants in hydraulic fractures. The discrete element method (DEM), when coupled with the lattice Boltzmann method (LBM) and computational fluid dynamics (CFD), represents a useful numerical approach to studying these microscopic processes. This integrated approach allows for detailed modeling of particle–fluid and particle–particle interactions, which is particularly useful in dealing with particles with non-spherical shapes. This review focuses on recent advancements in DEM implementations for such particles and their coupling schemes with LBM and CFD numerical tools. It aims to assist scholars and practitioners in selecting the most effective LBM/CFD-DEM strategy for studying particle transport and packing in geo-energy scenarios. Although tailored for geophysical flows, the methodologies and analytical frameworks presented here also apply to fundamental investigations of particle-laden flows.
科研通智能强力驱动
Strongly Powered by AbleSci AI