Critical appraisal of pore network models to simulate fluid flow through assemblies of spherical particles
Critical appraisal of pore network models to simulate fluid flow through assemblies of spherical particles
复制标题
模拟流体流过球形颗粒组件的孔隙网络模型的批判性评估
DOI：
10.1016/j.compgeo.2022.104900
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发表时间：
2022
影响因子：
5.3
通讯作者：
Morimoto T
中科院分区：
文献类型：
--
作者：
Morimoto T
考虑流体流动和颗粒运动的耦合数值模型使地质力学中的各种现象，包括渗流引起的不稳定性的基本分析。在已经提出的各种CFD（计算流体动力学）-DEM（离散单元法）耦合框架中，孔隙网络模型（PNM）具有以低计算成本精确地模拟颗粒材料中的流体流动的潜力，以实现对代表性体积单元（RVE）的模拟。然而，目前的模型之间的连接孔的局部电导非常简单，限制了PNM的准确性。本研究开发了新的局部电导模型，通过详细分析现有的分析研究，通过不同的三维网格填充的均匀球体的流体流动。这些新的模型相对于现有的，更简单的模型的性能证明了使用CFD模拟，其中的多分散球体的随机组件的孔隙空间中的流动被准确地解决。分析表明，本文提出的新模型可以更准确地预测具有较宽孔隙比和多分散性的试样的局部和整体渗透率。这些模型不需要通过合并孔隙进行任何优化，因此它们可以有效地模拟具有不断变化的孔隙空间拓扑结构的系统。
Coupled numerical models considering fluid flow and particle movement enable fundamental analyses of a variety of phenomena in geomechanics including seepage-induced instabilities. Amongst the various CFD (Computational Fluid Dynamics)-DEM (Discrete Element Method) coupled frameworks which have been proposed, Pore Network Models (PNMs) have the potential to simulate fluid flow in granular materials accurately with a low computational cost to enable simulations on Representative Volume Elements (RVEs). However, the current models of the local conductance between the connected pores are very simple, limiting the accuracy of PNMs. This study develops novel local conductance models by detailed analysis of existing analytical studies of fluid flow through different 3D lattice packings of uniform spheres. The performance of these new models relative to existing, simpler models is demonstrated using CFD simulations in which the flow in the pore space of random assemblies of polydisperse spheres is accurately resolved. The analyses show that the new models proposed here can more accurately predict the local and global permeabilities of specimens with a wide range of void ratios and polydispersities. These models do not require any optimisation via merging pores so that they can efficiently simulate systems with an evolving pore space topology.
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影响因子：
5.2
作者：
Che，Hanqiao;O'Sullivan，Catherine;Smith，Edward R.
通讯作者：
Smith，Edward R.
DOI：
10.1063/1.168744
发表时间：
1998-11-01
期刊：
COMPUTERS IN PHYSICS
影响因子：
--
作者：
Weller, HG;Tabor, G;Fureby, C
通讯作者：
Fureby, C
影响因子：
3.7
作者：
U. Shamy;Osman De Leon;R. Wells
通讯作者：
U. Shamy;Osman De Leon;R. Wells
影响因子：
5.3
作者：
C. Knight;C. O’Sullivan;Berend G. M. van Wachem;D. Dini
通讯作者：
C. Knight;C. O’Sullivan;Berend G. M. van Wachem;D. Dini
影响因子：
5.2
作者：
TSUJI, Y;KAWAGUCHI, T;TANAKA, T
通讯作者：
TANAKA, T