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The effect of microscopic friction and size distributions on conditional probability distributions in soft particle packings

机译:微观摩擦和尺寸分布对软颗粒填料条件概率分布的影响

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Employing two-dimensional molecular dynamics (MD) simulations of soft particles, we study their non-affine responses to quasi-static isotropic compression where the effects of microscopic friction between the particles in contact and particle size distributions are examined. To quantify complicated restructuring of force-chain networks under isotropic compression, we introduce the conditional probability distributions (CPDs) of particle overlaps such that a master equation for distribution of overlaps in the soft particle packings can be constructed. From our MD simulations, we observe that the CPDs are well described by q-Gaussian distributions, where we find that the correlation for the evolution of particle overlaps is suppressed by microscopic friction, while it significantly increases with the increase of poly-dispersity.
机译:使用软颗粒的二维分子动力学(MD)模拟,我们研究了对准静态各向同性压缩的非仿射响应,其中检查了颗粒之间的显微镜摩擦在接触和粒度分布中的效果。 为了在各向同性压缩下量化力链网络的复杂重组,我们介绍颗粒的条件概率分布(CPD)重叠,使得可以构造用于软颗粒填料中的重叠分布的主方程。 从我们的MD模拟中,我们观察到CPD通过Q-Gaussian分布很好地描述,在那里我们发现通过微观摩擦抑制了粒子重叠的演化的相关性,而随着多分散性的增加,它显着增加。

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