RANDOM PARTICLE PACKING BY REDUCED DIMENSION ALGORITHMS

被引:29
作者
DAVIS, IL
CARTER, RG
机构
[1] Thiokol Corporation, Brigham City, UT 84302-0707
关键词
D O I
10.1063/1.345785
中图分类号
O59 [应用物理学];
学科分类号
摘要
A new type of Monte Carlo algorithm to calculate packing fraction and general particle dispersion characteristics for arbitrary random packs of spherical particles is presented. Given arbitrary quantities of arbitrary sizes with arbitrary mass densities, the algorithms calculate the close random packing fraction. If desired, they can return the position and type of each particle in the pack. Since every detail of the positions and types of particles in the pack is known, any pack characteristic can be calculated. The algorithms use a dimension-reducing trick to turn a computationally intractable problem into a tractable one. Planned extensions and improvements of the algorithms are discussed.
引用
收藏
页码:1022 / 1029
页数:8
相关论文
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