Nature of packs used in propellant modeling.
作者： F. Maggi , S. Stafford , T. L. Jackson , J. Buckmaster
DOI: 10.1103/PHYSREVE.77.046107
关键词: Nanotechnology 、 Physical context 、 Computer science 、 Binary number 、 Computational science 、 Propellant 、 RDF
摘要: In recent years we have constructed closely packed spheres using the Lubachevsky-Stillinger algorithm to generate morphological models of heterogeneous solid propellants. Improvements now allow us create large polydisperse packs on a laptop computer, and monodisperse with packing fractions greater than 70% which display significant crystal order. The use these in physical context motivates efforts examine some detail nature packs, including certain statistical properties. We compare for binary long-known experimental data. Also, discuss near-neighbor number radial distribution function (RDF) make comparisons also briefly RDF bidisperse packs. consider bounded pay particular attention near-wall structure where identify
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