Cluster-Growth in Freely Cooling Granular Media
S. Luding, H. J. Herrmann (ICA 1, Stuttgart, Germany)

TL;DR
This paper investigates the long-term cluster growth in freely cooling granular media by extending the inelastic hard sphere model to prevent collapse, introducing a new algorithm for cluster identification, and analyzing different growth regimes.
Contribution
It introduces an extended IHS model with contact energy to avoid inelastic collapse and proposes a continuous-space cluster identification algorithm, enabling long-time behavior analysis.
Findings
Identified three regimes: homogeneous cooling, cluster growth, and system-wide clustering.
Developed a burning-like algorithm for cluster detection based on particle distance.
Demonstrated mean-field theory applicability in the initial homogeneous regime.
Abstract
When dissipative particles are left alone, their fluctuation energy decays due to collisional interactions, clusters build up and grow with time until the system size is reached. When the effective dissipation is strong enough, this may lead to the `inelastic collapse', i.e. the divergence of the collision frequency of some particles. The cluster growth is an interesting physical phenomenon, whereas the inelastic collapse is an intrinsic effect of the inelastic hard sphere (IHS) model used to study the cluster growth - involving only a negligible number of particles in the system. Here, we extend the IHS model by introducing an elastic contact energy and the related contact duration t_c. This avoids the inelastic collapse and allows to examine the long-time behavior of the system. For a quantitative description of the cluster growth, we propose a burning - like algorithm in continuous…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
