Adapting particle methods to model the dynamics of concentration gradients and chemical reactivity under advective diffusive transport conditions

Abstract : Concentration organization and dynamics in heterogeneous porous media are key physical factors driving chemical reactivity. At equilibrium, reactivity depends not only on the concentration distribution but also on concentration gradients. As high and low values of concentration and concentration gradient do not superpose, we derive a transport equation for the concentration gradients and set up an adapted particle method to approach them numerically. Particles dynamically optimize their organization to provide highly accurate concentration gradients. The global strategy combining separate particle methods for the concentration and its gradient gives optimal predictions of reactivity.
Type de document :
Article dans une revue
Journal of Computational Physics, Elsevier, 2018, 354, pp.196-210. 〈10.1016/j.jcp.2017.10.037〉
Liste complète des métadonnées

https://hal-insu.archives-ouvertes.fr/insu-01647032
Contributeur : Isabelle Dubigeon <>
Soumis le : vendredi 24 novembre 2017 - 10:01:05
Dernière modification le : jeudi 11 janvier 2018 - 06:24:06

Identifiants

Collections

Citation

Anthony Beaudoin, Serge Huberson, Jean-Raynald De Dreuzy. Adapting particle methods to model the dynamics of concentration gradients and chemical reactivity under advective diffusive transport conditions. Journal of Computational Physics, Elsevier, 2018, 354, pp.196-210. 〈10.1016/j.jcp.2017.10.037〉. 〈insu-01647032〉

Partager

Métriques

Consultations de la notice

32