A numerical study of attraction/repulsion collective behavior models: 3D particle analyses and 1D kinetic simulations - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Physica D: Nonlinear Phenomena Année : 2013

A numerical study of attraction/repulsion collective behavior models: 3D particle analyses and 1D kinetic simulations

Francesco Vecil
Jesus Rosado Linares
  • Fonction : Auteur
  • PersonId : 929409

Résumé

We study at particle and kinetic level a collective behavior model based on three phenomena: self-propulsion, friction (Rayleigh effect) and an attractive/repulsive (Morse) potential rescaled so that the total mass of the system remains constant independently of the number of particles N . In the first part of the paper, we introduce the particle model: the agents are numbered and described by their position and velocity. We iden- tify five parameters that govern the possible asymptotic states for this system (clumps, spheres, dispersion, mills, rigid-body rotation, flocks) and perform a numerical analysis on the 3D setting. Then, in the second part of the paper, we describe the kinetic system derived as the limit from the particle model as N tends to infinity; we propose, in 1D, a numerical scheme for the simulations, and perform a numerical analysis devoted to trying to recover asymptotically patterns similar to those emerging for the equivalent particle systems, when particles originally evolved on a circle.
Fichier principal
Vignette du fichier
VecLafRos2012.pdf (1.78 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00726486 , version 1 (30-08-2012)

Identifiants

Citer

Francesco Vecil, Pauline Lafitte, Jesus Rosado Linares. A numerical study of attraction/repulsion collective behavior models: 3D particle analyses and 1D kinetic simulations. Physica D: Nonlinear Phenomena, 2013, 10.1016/j.physd.2012.12.010. ⟨10.1016/j.physd.2012.12.010⟩. ⟨hal-00726486⟩
200 Consultations
928 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More