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Critical pore radius and transport properties of disordered hard- and overlapping-sphere models
Physical Review E ( IF 2.2 ) Pub Date : 2021-07-22 , DOI: 10.1103/physreve.104.014127
Michael A Klatt 1, 2 , Robert M Ziff 3 , Salvatore Torquato 1, 4
Affiliation  

Transport properties of porous media are intimately linked to their pore-space microstructures. We quantify geometrical and topological descriptors of the pore space of certain disordered and ordered distributions of spheres, including pore-size functions and the critical pore radius δc. We focus on models of porous media derived from maximally random jammed sphere packings, overlapping spheres, equilibrium hard spheres, quantizer sphere packings, and crystalline sphere packings. For precise estimates of the percolation thresholds, we use a strict relation of the void percolation around sphere configurations to weighted bond percolation on the corresponding Voronoi networks. We use the Newman-Ziff algorithm to determine the percolation threshold using universal properties of the cluster size distribution. The critical pore radius δc is often used as the key characteristic length scale that determines the fluid permeability k. A recent study [Torquato, Adv. Wat. Resour. 140, 103565 (2020)] suggested for porous media with a well-connected pore space an alternative estimate of k based on the second moment of the pore size δ2, which is easier to determine than δc. Here, we compare δc to the second moment of the pore size δ2, and indeed confirm that, for all porosities and all models considered, δc2 is to a good approximation proportional to δ2. However, unlike δ2, the permeability estimate based on δc2 does not predict the correct ranking of k for our models. Thus, we confirm δ2 to be a promising candidate for convenient and reliable estimates of the fluid permeability for porous media with a well-connected pore space. Moreover, we compare the fluid permeability of our models with varying degrees of order, as measured by the τ order metric. We find that (effectively) hyperuniform models tend to have lower values of k than their nonhyperuniform counterparts. Our findings could facilitate the design of porous media with desirable transport properties via targeted pore statistics.

中文翻译:

无序硬球和重叠球模型的临界孔隙半径和输运特性

多孔介质的传输特性与其孔隙空间微结构密切相关。我们量化了球体的某些无序和有序分布的孔隙空间的几何和拓扑描述符,包括孔径函数和临界孔隙半径δ. 我们专注于从最大随机堵塞球填料、重叠球、平衡硬球、量化器球填料和结晶球填料衍生的多孔介质模型。为了精确估计渗透阈值,我们使用球体配置周围的空隙渗透与相应 Voronoi 网络上的加权键渗透的严格关系。我们使用 Newman-Ziff 算法使用集群大小分布的通用属性来确定渗透阈值。临界孔隙半径δ 通常用作决定流体渗透率的关键特征长度尺度 . 最近的一项研究 [Torquato, Adv. 笏。资源。 140 , 103565 (2020)] 建议对于具有良好连接的孔隙空间的多孔介质的替代估计 基于孔径的二阶矩 δ2,这比确定更容易 δ. 在这里,我们比较δ 到孔径的二阶矩 δ2,并确实确认,对于所有考虑的孔隙度和所有模型, δ2 是一个很好的近似正比于 δ2. 然而,不像δ2, 渗透率估计基于 δ2 不能预测正确的排名 对于我们的模型。因此,我们确认δ2成为对具有良好连接的孔隙空间的多孔介质的流体渗透率进行方便和可靠估计的有希望的候选者。此外,我们以不同程度的顺序比较了我们模型的流体渗透率,如τ订单指标。我们发现(有效地)超均匀模型往往具有较低的值比他们的非超均匀对应物。我们的发现可以通过目标孔隙统计促进具有理想传输特性的多孔介质的设计。
更新日期:2021-07-22
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