Random very loose packs
arXiv:0805.0220 · doi:10.1103/PhysRevLett.101.128001
Abstract
We measure the number Omega(phi) of mechanically stable states of volume fraction phi of a granular assembly under gravity. The granular entropy S(phi) = log Omega(phi) vanishes both at high density, at phi = phi_rcp, and a low density, at phi = phi_rvlp, where phi_rvlp is a new lower bound we call random very loose pack. phi_rlp is the volume fraction where the entropy is maximal. These findings allow for a clear explanation of compaction experiments, and provide the first first-principle definition of the random loose volume fraction. In the context of the statistical mechanics approach to static granular materials, states with phi < phi_rlp are characterized by a negative temperature.
Applet available at http://smcs.na.infn.it/rvlp/rvlp.html Enhanced version resulting from reviewer's comments
References in corpus (3)
Cited by in corpus (21)
- Jamming of Soft Particles: Geometry, Mechanics, Scaling and Isostaticity
- Temperature in and out of equilibrium: a review of concepts, tools and attempts
- Macroscopic Discontinuous Shear Thickening vs Local Shear Jamming in Cornstarch
- Loose packings of frictional spheres
- Jamming phase diagram for frictional particles
- Adhesive Loose Packings of Small Particles
- Shear jamming and fragility in dense suspensions
- Entropy of jammed matter
- Equation of state for random sphere packing with arbitrary adhesion and friction
- Computer simulation of random loose packings of micro-particles in presence of adhesion and friction
- Disordered jammed packings of frictionless spheres
- Measuring the configurational temperature of a binary disc packing
- Random Loose Packing in Granular Matter
- Jamming III: Characterizing Randomness via the Entropy of Jammed Matter
- A geometric probabilistic approach to random packing of hard disks in a plane
- Exact predictions from Edwards ensemble vs. realistic simulations of tapped narrow two-dimensional granular columns
- Derivation of a Langevin equation in a system with multiple scales: the case of negative temperatures
- Arch-based configurations in the volume ensemble of static granular systems
- Slope of Dry Granular Materials Surface is Generally Curved
- Wang-Landau algorithm for entropic sampling of arch-based microstates in the volume ensemble of static granular packings
- Geometric and Topological Entropies of Sphere Packing