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Numerical computations of conductivity over agglomerated continuum percolation models

机译:凝聚连续渗流模型电导率的数值计算

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In order to clarify how the percolation theory governs the conductivities in real materials which consist of small conductive particles, e.g., nanoparticles, with random configurations in an insulator, we numerically investigate the conductivities of continuum percolation models consisting of overlapped particles using the finite difference method as a sequel of our previous article [S. Matsutani, Y. Shimosako, Y. Wang, Int. J. Mod. Phys. C 21 (2010) 709-729]. As the previous article showed the shape effect of each particle by handling different aspect ratios of spheroids, in this article we numerically show influences of the agglomeration of the particles on conductivities after we model the agglomerated configuration by employing a simple numerical algorithm which simulate an agglomerated configuration of particles by a natural parameter. We conclude that the dominant agglomeration effect on the conductivities can be interpreted as the size effect of an analyzed region. We also discuss an effect of shape of the agglomerated clusters on its universal property.
机译:为了阐明渗流理论如何控制由小导电粒子(例如,纳米粒子)组成的真实材料在绝缘体中的随机构型的电导率,我们使用有限差分法对由重叠粒子组成的连续渗流模型的电导率进行了数值研究作为我们上一篇文章的续集[S.松谷洋(Y. Shimosako),王洋(Y. Wang) J.莫德物理C 21(2010)709-729]。由于前一篇文章通过处理不同的球体长宽比显示了每个粒子的形状效应,因此在本文中,我们使用简单的数值算法(模拟团聚)对团聚构型进行建模后,通过数值显示了粒子团聚对电导率的影响通过自然参数配置粒子。我们得出结论,对电导率的主要聚集效应可以解释为所分析区域的尺寸效应。我们还讨论了聚集簇的形状对其普遍性质的影响。

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