@article {16913,
	title = {Shape effects on time-scale divergence at athermal jamming transition of frictionless non-spherical particles},
	journal = {Physica A: Statistical Mechanics and its Applications},
	volume = {484},
	year = {2017},
	pages = {470-481},
	abstract = {The critical behaviors of a granular system at the jamming transition have been extensively studied from both mechanical and thermodynamic perspectives. In this work, we numerically investigate the jamming behaviors of a variety of frictionless non-spherical particles, including spherocylinder, ellipsoid, spherotetrahedron and spherocube. In particular, for a given particle shape, a series of random configurations at different fixed densities are generated and relaxed to minimize interparticle overlaps using the relaxation algorithm. We find that as the jamming point (i.e.,\&nbsp;point\&nbsp;J) is approached, the number of iteration steps (defined as the {\textquotedblleft}time-scale{\textquotedblright} for our systems) required to completely relax the interparticle overlaps exhibits a clear power-law divergence. The dependence of the detailed mathematical form of the power-law divergence on particle shapes is systematically investigated and elucidated, which suggests that the shape effects can be generally categorized as elongation and roundness. Importantly, we show the jamming transition density can be accurately determined from the analysis of time-scale divergence for different non-spherical shapes, and the obtained values agree very well with corresponding ones reported in literature. Moreover, we study the plastic behaviors of over-jammed packings of different particles under a compression{\textendash}expansion procedure and find that the jamming of ellipsoid is much more robust than other non-spherical particles. This work offers an alternative approximate procedure besides conventional packing algorithms for studying athermal jamming transition in granular system of frictionless non-spherical particles.},
	url = {http://www.sciencedirect.com/science/article/pii/S0378437117305356},
	author = {Ye Yuan and Weiwei Jin and Lufeng Liu and Shuixiang Li}
}
