Percolation transition in entangled granular networks.

ABSTRACT: Highly nonconvex granular particles, such as staples and metal shavings, can form solid-like cohesive structures through geometric entanglement (interlocking). However, the network structure formed by this entanglement remains largely unexplored. Here, we employ network science to investigate the entanglement networks of C-shaped granular particles under vibration in experiments and simulations. Analysis of key network properties reveals that these networks undergo a percolation transition as the number of links increases logarithmically over time; the entangled particles form a giant cluster when the number of links exceeds a critical threshold. We propose a continuum percolation model of rings that effectively describes this observed transition. Furthermore, we find that the particles' o

SUBMITTER: Kim S 

PROVIDER: S-EPMC12738784 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature