Two methods for pore network of porous media
Two methods for pore network of porous media
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DOI：
10.1002/nag.1134
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发表时间：
2012-12-25
影响因子：
4
通讯作者：
Hu, Liming
中科院分区：
文献类型：
--
作者：
Gao, Shengyan;Meegoda, Jay N.;Hu, Liming
提出了两种生成多孔介质孔隙网络来捕获孔隙结构的方法。第一种方法从计算机模拟的球体堆积中提取孔隙结构。采用改进的 Delaunay 曲面细分来描述多孔介质，采用改进的 NelderMead 方法结合三种孔隙合并算法来生成随机填充球体的孔径和配位数分布。双锥横坐标不对称同心键用于描述两个相邻空隙之间的连接。通过预测具有已知孔径、喉道尺寸和配位数分布的等半径球体立方阵列的孔隙结构来验证该算法。预测的孔隙结构分布与测量结果非常吻合。然后，使用该算法预测随机填充的球形颗粒的孔隙结构和渗透率，并将预测的渗透率值与已发表的实验数据进行比较。结果表明，预测的渗透率值与测量的渗透率值非常吻合，证实了所提出的算法可以捕获填充床的主要流动路径。第二种方法生成多孔介质的等效孔隙网络，其中空隙中心位于具有恒定孔隙中心距离的规则晶格中。然而，该网络允许匹配多孔介质的主要几何和拓扑特征。两种方法的比较表明，第二种方法也可以用作定量研究多孔介质流动的微观特性的预测工具。版权所有 (c) 2012 John Wiley & Sons, Ltd.
Two approaches of generating pore networks of porous media are presented to capture the pore fabric. The first methodology extracted pore structure from a computer simulated packing of spheres. The modified Delaunay tessellation was used to describe the porous media, and modified NelderMead method in conjunction with three pore-merging algorithms was used to generate the pore size and coordination number distributions of the randomly packed spheres. The Biconical Abscissa Asymmetric CONcentric bond was used to describe the connection between two adjacent voids. This algorithm was validated by predicting pore structure of a cubic array of spheres of equal radius with known pore sizes, throat sizes and coordination number distributions. The predicted distributions of pore structure agreed well with the measured. Then, the algorithm was used to predict pore structure and permeability of randomly packed spherical particles, and predicted permeability values were compared with published experimental data. The results showed that the predicted permeability values were in good agreement with those measured, confirming the proposed algorithm can capture the main flow paths of packed beds. The second methodology generated an equivalent pore network of porous media, of which the centers of voids were located in a regular lattice with constant pore center distance. However, this network allowed for matching both main geometrical and topological characteristics of the porous media. A comparison of the two approaches suggested that the second approach can also be used as a predictive tool to quantitatively study the microscopic properties of flow through porous media. Copyright (c) 2012 John Wiley & Sons, Ltd.