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Statistical mechanics description of an isotropic compression and its relationship to micromechanics

机译:统计力学描述各向同性压缩及其与微机械的关系

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Statistical mechanics of volumes have been used to describe static packings of grains, usually grown by deposition or after shaking. In the present work, we use molecular dynamic simulations and the Gamma distribution of volumes introduced by Aste et. al [1, 2] to explore the limit equilibrium state of isotropic compression on a monodisperse system of spheres with sliding and rolling friction. The objective is to investigate how the volume entropy S, the compactivity χ and the number of elementary cells per particle C/N change with the microscopic force parameters among grains. First, we found that the volume distribution of the Voronoi tessellation on the final state actually follows the Gamma distribution proposed by Aste et. al. Next, we found that both S and χ grow smoothly by a factor of two with an increasing sliding friction coefficient μ_s, which, therefore, could be used as tunning parameter for these statistical variables. They also grow with the rolling friction coefficient μ_r, but for a smaller factor and reaching saturation very early. In contrast, C/N is almost unaffected by μ_r (between the error bars) and saturates for very small values of μ_(s,) but it can be reduced in around a 10% by decreasing the reduced elastic constant κ in two orders of magnitude, a change that does leave χ almost unaffected. These results drive the attention on μ_s as the most meaningful variable to control the reorganizations of grains through the isotropic compression and, thus, the statistical properties of its final state.
机译:统计机制已用于描述谷物的静态填料,通常通过沉积或摇动后生长。在本作的工作中,我们使用Aste Et引入的分子动态模拟和伽马分布。 α[1,2]探讨具有滑动和滚动摩擦的单分散系统上各向同性压缩的极限平衡状态。目的是研究体积熵S,紧凑率△和每颗粒C / N的基本细胞数量如何随谷物之间的微观力参数而变化。首先,我们发现Voronoi Telsellation在最终状态下的体积分布实际上遵循Aste等所提出的伽玛分布。 al。接下来,我们发现,S和χ均匀地生长两个倍数,其滑动摩擦系数μ_增加,因此可以用作这些统计变量的调整参数。它们也随着轧制摩擦系数μ_R成长,但对于较小的因素并很早就达到饱和度。相反,C / N几乎不受μ_R(误差条之间)的影响,并且饱和非常小的μ_值(s,),但通过减少两个订单中的减少的弹性常数κ可以减小约10%。幅度,改变leave几乎不受影响。这些结果将注意力引起μ_作为最有意义的变量,以控制通过各向同性压缩的谷物的重组,从而导致其最终状态的统计特性。

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