Elasticity of Gaussian and nearly-Gaussian phantom networks
classification
❄️ cond-mat.stat-mech
keywords
elasticnetworksgaussiannearly-gaussianphantomspringsconstantsnetwork
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We study the elastic properties of phantom networks of Gaussian and nearly-Gaussian springs. We show that the stress tensor of a Gaussian network coincides with the conductivity tensor of an equivalent resistor network, while its elastic constants vanish. We use a perturbation theory to analyze the elastic behavior of networks of slightly non-Gaussian springs. We show that the elastic constants of phantom percolation networks of nearly-Gaussian springs have a power low dependence on the distance of the system from the percolation threshold, and derive bounds on the exponents.
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