Random particle packing by reduced dimension algorithms

Abstract
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.

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