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A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium

Laurent Breton 1 Jean-Daniel Zucker 1 Eric Clément 
1 APA - Apprentissage et Acquisition des connaissances
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : In granular physics, numerical simulations are often used to better explain the link between microscopic interaction mechanisms (e.g. contact forces between beads) and macroscopic laws (e.g. the maximum load at the bottom of a silo). Here we study the mechanical properties of a pile such that all the grains are in a static equilibrium. This paper presents a multi-agent approach that solves this problem. The main idea of this algorithm is to consider a grain as a reactive agent which goal is to reach its own static equilibrium. This algorithm can compute piles in practice in a complexity that is linear with respect to the number of grains. The performance of our algorithm has paved the way for the development of GranuLab, a virtual laboratory for scientific experiments in the domain of granular physics. We present both the algorithm and our validation processes.
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Submitted on : Wednesday, August 9, 2017 - 2:37:40 PM
Last modification on : Friday, April 1, 2022 - 3:39:03 AM

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Laurent Breton, Jean-Daniel Zucker, Eric Clément. A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium. MABS 2000 - 2nd International Workshop on Multi-agent systems and Agent-Based Simulation, Jul 2000, Boston, United States. pp.108-118, ⟨10.1007/3-540-44561-7_8⟩. ⟨hal-01573410⟩



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