基于大随机RC网络的复合材料介电性能建模与分析
Modeling and analysis of the dielectric properties of composite materials using large random RC networks
摘要：
本文提出了一种简单有效的方法来研究复合材料的介电性能建模使用非常大的随机电阻-电容（RC）网络。该算法基于Frank-Lobb简化格式，分析了复合材料的交流电导率、介电常数和相位角随频率的变化。仿真研究基于随机网络的1056个样本，该随机网络包含2*10^6个随机放置在不同比例的电容器中的组件。已经发现，这些特性表现出与介电材料的普遍介电响应的相似性。结果表明，在低频和高频下，样本之间没有变异性，并且跨越幂律。
英文摘要：
The paper proposes a simple and efficient method to study the dielectric properties of composite materials modeled using very large random resistor-capacitor (RC) networks. The algorithm is based on the Frank-Lobb reduction scheme and analyses the frequency dependent AC conductivity, permittivity and phase angle of composite materials. The simulation study is based on 1056 samples of random network containing 2*10^6 components randomly positioned in different proportion of capacitors. It has been found that these properties exhibit similarities to the universal dielectric response of dielectric materials. The results show that there is no variability between samples at low and high frequencies and across the power law.
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