The role of geometric constraints in random packing of non-spherical particles

Xiaodong Jia, Richard Caulkin, Richard A Williams, Z. Y. Zhou, A. B. Yu

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

A generic and digitally implemented geometrical packing algorithm is compared with a discrete element method based dynamic packing model, through ten case studies encompassing oblate-to-prolate spheroids, in terms of bulk volume packing fraction, bed height, orientation distribution and mean coordination number. The broad agreement in simulation results points to the conclusion that geometrical constraints play a dominant role over physical contact forces in determining the structure of a random packing and physical contact forces are a means to enforce geometrical constraints.
Original languageEnglish
Article number68005
Number of pages5
JournalEurophysics Letters
Volume92
DOIs
Publication statusPublished - Dec 2010

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