Traction open boundary condition for incompressible, turbulent, single- or multi-phase flows, and surface wave simulations - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Journal of Computational Physics Année : 2021

Traction open boundary condition for incompressible, turbulent, single- or multi-phase flows, and surface wave simulations

Résumé

In simulations, artificial boundaries need to be introduced to limit the size of computational domains and thereby lower computational cost. At these boundaries, flow variables need to be calculated in a way that will not induce any perturbation of the interior solution, which poses a great challenge in incompressible flows. In this paper, we demonstrate the potential of a new traction open boundary condition to address the classical problems encountered in simulations with open boundary conditions: backflow instability, wave reflections, and confinement caused by the proximity of the outlet. This novel boundary treatment, based on a Lagrangian estimation of the traction in the outlet section coupled to a stabilization term, is shown to provide accuracy and stability for turbulent, single-or multi-phase flows, test cases. Using a simulation of surface gravity waves, we show that if special care is given to the computation of the estimated traction, it is possible to get a fully non-reflective open boundary condition.
Fichier principal
Vignette du fichier
2021_Bozonnet_J_Computional_Phys.pdf (2.71 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03609644 , version 1 (15-03-2022)

Licence

Paternité - Pas de modifications

Identifiants

Citer

Cyril Bozonnet, Olivier Desjardins, Guillaume Balarac. Traction open boundary condition for incompressible, turbulent, single- or multi-phase flows, and surface wave simulations. Journal of Computational Physics, 2021, 443, ⟨10.1016/j.jcp.2021.110528⟩. ⟨hal-03609644⟩
16 Consultations
1348 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More