Space-time Domain Decomposition and Mixed Formulation for solving reduced fracture models - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue SIAM Journal on Numerical Analysis Année : 2016

Space-time Domain Decomposition and Mixed Formulation for solving reduced fracture models

Résumé

In this paper we are interested in the "fast path" fracture and we aim to use global-in-time, nonoverlapping domain decomposition methods to model flow and transport problems in a porous medium containing such a fracture. We consider a reduced model in which the fracture is treated as an interface between the two subdomains. Two domain decomposition methods are considered: one uses the time-dependent SteklovPoincaré operator and the other uses optimized Schwarz waveform relaxation (OSWR) based on Ventcell transmission conditions. For each method, a mixed formulation of an interface problem on the space-time interface is derived, and different time grids are employed to adapt to different time scales in the subdomains and in the fracture. Demonstrations of the well-posedness of the Ventcell subdomain problems is given for the mixed formulation. An analysis for the convergence factor of the OSWR algorithm is given in the case with fractures to compute the optimized parameters. Numerical results for two-dimensional problems with strong heterogeneities are presented to illustrate the performance of the two methods.
Fichier principal
Vignette du fichier
Fracturespaper.pdf (1.11 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01113953 , version 1 (07-02-2015)
hal-01113953 , version 2 (01-03-2015)

Identifiants

Citer

Thi-Thao-Phuong Hoang, Caroline Japhet, Michel Kern, Jean E. Roberts. Space-time Domain Decomposition and Mixed Formulation for solving reduced fracture models . SIAM Journal on Numerical Analysis, 2016, 54 (1), pp.29. ⟨10.1137/15M1009651⟩. ⟨hal-01113953v2⟩
455 Consultations
368 Téléchargements

Altmetric

Partager

More