Titre :

Modeling and Simulation of Mixture Flows :Application to Powder-Snow Avalanches

Auteur(s) :

Calgaro, Caterina [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Quantitative methods for stochastic models in physics [MEPHYSTO]
Creusé, Emmanuel [Auteur]
Quantitative methods for stochastic models in physics [MEPHYSTO]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Goudon, Thierry [Auteur]
COmplex Flows For Energy and Environment [COFFEE]
Laboratoire Jean Alexandre Dieudonné [LJAD]

Titre de la revue :

Computers and Fluids

Pagination :

100-122

Éditeur :

Elsevier

Date de publication :

2015

ISSN :

0045-7930

Mot(s)-clé(s) en anglais :

Finite Volume method
Finite Element method
Unstructured meshes
Particulate flows and hydrodynamic regimes
Mixture flows
Variable density flows

Discipline(s) HAL :

Mathématiques [math]/Equations aux dérivées partielles [math.AP]
Mathématiques [math]
Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

We are concerned with the numerical simulation of certain multi-fluids flows, which in particular arise in the modeling of powder-snow avalanches. The behavior of the mixture isdescribed through a single mass density and ...
Lire la suite >We are concerned with the numerical simulation of certain multi-fluids flows, which in particular arise in the modeling of powder-snow avalanches. The behavior of the mixture isdescribed through a single mass density and a velocity field, with an unusual constraint thatrelates the divergence of the velocity to derivatives of the density. We discuss a derivation ofthe model from a Eulerian-Lagrangian description of the mixture. We propose a numericalscheme based on a hybrid Finite Volume/Finite Element method. This approach is validatedby comparison to analytical solutions, numerical solutions and experimental data. The schemeworks on unstructured meshes and it can be advantageously coupled to mesh refnementsstrategies in order to follow fronts of high density variation. We explore numerically therole of the leading coeffcients that characterize the flow: the Froude, the Reynolds and theSchmidt numbers.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL