基于随机耦合模型的电缆网络能量分配

Mubarack Ahmed, G. Gradoni, S. Creagh, C. Smartt, S. Greedy, G. Tanner
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引用次数: 1

摘要

本文利用随机耦合模型(RCM)研究了电缆网络中的能量分布。RCM用于模拟微波在大型复杂腔体中的传播。该模型由两个主要部分组成,其中一部分是确定性的,另一部分是纯统计的。用量子图(QG)理论对这两个部分进行了建模,并给出了场量的性质。讨论了不同边界条件对微波特性的影响。图节点的傅立叶边界条件、高损耗区(α > 1)和弱耦合图确保了QG模型有资格作为标准RCM的模拟。对于诺伊曼边界条件,发现了与RCM的显著偏差。给出了确定性部分和统计部分的解析表达式,并证明了它们能准确地预测后者的分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distribution of Energy through Cable Networks using Random Coupling Model
We investigate energy distribution in cable networks using random coupling model (RCM). RCM is used to model the propagation of microwaves in large complicated cavities. The model is made up of two main parts where one part is deterministic and the other is purely statistical. Both parts have been modelled using Quantum Graph (QG) theory and the properties of field quantities are presented. The effects of various boundary conditions on the behaviour of microwaves is discussed. Fourier boundary conditions at graph nodes, high loss regime (α > 1), and weakly coupled graphs ensures that QG model qualifies as an analogue of standard RCM. For Neumann boundary conditions, significant deviations from RCM are found. Analytical expressions of both the deterministic and the statistical parts are presented and shown to accurately predict the distribution of the latter.
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