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Densest arrangement of frictionless polydisperse sphere packings with a power-law grain size distribution

机译:具有动力 - 晶粒尺寸分布的无摩擦多分散球包装的密度排列

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In this work we use DEM simulations to find the densest packing of frictionless spheres subject to mechanical compression by changing systematically the grain size distribution (GSD). This is done by modeling the GSD as a power law and varying the GSD describing parameters: the size span and the distribution shape, while relating these parameters to the density and other micro-structural parameters. For large size spans, the optimal GSD resembles the century old Fuller-Thomson distribution that is commonly used in the field of cements and pavements. This optimal power-law GSD produces not only the densest packing but also presents good connectivity, measured from a small proportion of floating particles, and reduces the packing internal spatial correlations, measured by the pair correlation function. Thus, tuning the GSD appropriately allows for designing mechanically stable packings that have the highest density, a small number of floating particles, and less local correlations.
机译:在这项工作中,我们使用DEM仿真通过系统地改变晶粒尺寸分布(GSD)来找到通过机械压缩而受到机械压缩的无摩蒂球的密度包装。这是通过将GSD作为权力定律建模并改变描述参数的GSD:尺寸跨度和分布形状来完成的,同时将这些参数与密度和其他微结构参数相关联。对于大型跨度,最佳GSD类似于众年历史的富汤森分布,通常用于水泥和路面领域。这种最佳的功率法GSD不仅产生了最密任的包装,而且产生从少量浮动颗粒测量的良好连接,并降低通过对相关函数测量的包装内部空间相关性。因此,适当地调谐GSD允许设计具有最高密度的机械稳定的填料,少量浮动颗粒和较少的局部相关性。

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