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The influence of particle size distribution on parameters characterizing the spatial structure of porous beds

机译：粒度分布对表征多孔床空间结构的参数的影响

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The article proposes functions linking the standard deviation of a particle distribution in a porous bed consisting of spherical particles with various parameters characterising the spatial structure of the bed. The porosity, the inner surface, the specific surface and the geometrical tortuosity were analysed. In the first stage, a set of virtual beds was created with the use of the Discrete Element Method. The Radius Expansion Method was applied to generate virtual beds with different standard deviations. 150 virtual beds were created (25 standard deviations, 3 repetitions with different settings of the random number generator, 2 values of the radius expansion factor). In the second stage, the spatial structure of all virtual beds was analysed. The geometrical tortuosity was calculated with the use of the so-called Path Tracking Method; other parameters were calculated with the use of analytical formulas. The impact of the standard deviation on the parameters characterising the spatial structure of the granular bed was described by approximation functions, which can be used in order to obtain these parameters based on the particle size distribution for others porous beds.
机译：该文章提出了将颗粒分布的标准偏差与具有各种参数组成的球形颗粒的多孔床中的标准偏差与具有表征床的空间结构的各种参数组成的多孔床中。分析了孔隙率，内表面，比表面和几何曲折性。在第一阶段，使用使用离散元件方法创建一组虚拟床。施加半径扩展方法以产生具有不同标准偏差的虚拟床。创建了150个虚拟床（25个标准偏差，3重复，随机数发生器的不同设置，半径扩展因子的2值）。在第二阶段，分析了所有虚拟床的空间结构。使用所谓的路径跟踪方法计算几何曲折化;通过使用分析公式计算其他参数。通过近似函数描述了标准偏差对表征颗粒状床的空间结构的参数的影响，这可以使用，以便基于其他多孔床的粒度分布获得这些参数。

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