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棒状系统中连通渗流的随机几何图描述

Random geometric graph description of connectedness percolation in rod systems.

作者信息

Chatterjee Avik P, Grimaldi Claudio

机构信息

Department of Chemistry, SUNY College of Environmental Science and Forestry, One Forestry Drive, Syracuse, New York 13210, USA.

Laboratory of Physics of Complex Matter, Ecole Polytechnique Fédérale de Lausanne, Station 3, CH-1015 Lausanne, Switzerland.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Sep;92(3):032121. doi: 10.1103/PhysRevE.92.032121. Epub 2015 Sep 15.

Abstract

The problem of continuum percolation in dispersions of rods is reformulated in terms of weighted random geometric graphs. Nodes (or sites or vertices) in the graph represent spatial locations occupied by the centers of the rods. The probability that an edge (or link) connects any randomly selected pair of nodes depends upon the rod volume fraction as well as the distribution over their sizes and shapes, and also upon quantities that characterize their state of dispersion (such as the orientational distribution function). We employ the observation that contributions from closed loops of connected rods are negligible in the limit of large aspect ratios to obtain percolation thresholds that are fully equivalent to those calculated within the second-virial approximation of the connectedness Ornstein-Zernike equation. Our formulation can account for effects due to interactions between the rods, and many-body features can be partially addressed by suitable choices for the edge probabilities.

摘要

杆状分散体系中的连续渗流问题通过加权随机几何图进行了重新表述。图中的节点(或位点或顶点)代表杆中心所占据的空间位置。连接任意随机选择的一对节点的边(或链路)的概率取决于杆的体积分数、它们的尺寸和形状分布,还取决于表征它们分散状态的量(如取向分布函数)。我们利用这样的观察结果:在大纵横比的极限情况下,相连杆的闭环贡献可忽略不计,从而获得与在连通性奥恩斯坦 - 泽尔尼克方程的二级近似下计算出的渗流阈值完全等效的渗流阈值。我们的表述能够考虑杆之间相互作用产生的影响,并且通过对边概率的适当选择可以部分解决多体特征问题。

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