Abstract
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.
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Notes
It must be noted that the jamming density can be protocol-dependent, as shown in [33] and several of the references therein.
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Acknowledgements
N.E. thanks Catalina María Gutiérrez for her helpful advice and stimulating discussions. W.O. wants to thank the Universidad de la Sabana, Colombia, internal Project No. ING-182-2016 for funding, the National University of Colombia for support to run part of the simulations, and Nohora Cortés for her immense support and patience. This work was supported by the project Ecos Nord No. C19P01-63672.
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Oquendo-Patiño, W.F., Estrada, N. Densest arrangement of frictionless polydisperse sphere packings with a power-law grain size distribution. Granular Matter 22, 75 (2020). https://doi.org/10.1007/s10035-020-01043-9
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DOI: https://doi.org/10.1007/s10035-020-01043-9