A Linear Domain Decomposition Method for Non-equilibrium Two-Phase Flow Models

Stephan Benjamin Lunowa, Iuliu Sorin Pop, Barry Koren

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

We consider a model for two-phase flow in a porous medium posed in a domain consisting of two adjacent regions. The model includes dynamic capillarity and hysteresis. At the interface between adjacent subdomains, the continuity of the normal fluxes and pressures is assumed. For finding the semi-discrete solutions after temporal discretization by the θ-scheme, we proposed an iterative scheme. It combines a (fixed-point) linearization scheme and a non-overlapping domain decomposition method. This article describes the scheme, its convergence and a numerical study confirming this result. The convergence of the iteration towards the solution of the semi-discrete equations is proved independently of the initial guesses and of the spatial discretization, and under some mild constraints on the time step. Hence, this scheme is robust and can be easily implemented for realistic applications.

Originele taal-2Engels
TitelNumerical Mathematics and Advanced Applications, ENUMATH 2019 - European Conference
RedacteurenFred J. Vermolen, Cornelis Vuik
UitgeverijSpringer
Pagina's145-153
Aantal pagina's9
ISBN van geprinte versie9783030558734
DOI's
StatusGepubliceerd - 2021
EvenementEuropean Conference on Numerical Mathematics and Advanced Applications, ENUMATH 2019 - Egmond aan Zee, Nederland
Duur: 30 sep. 20194 okt. 2019

Publicatie series

NaamLecture Notes in Computational Science and Engineering
Volume139
ISSN van geprinte versie1439-7358
ISSN van elektronische versie2197-7100

Congres

CongresEuropean Conference on Numerical Mathematics and Advanced Applications, ENUMATH 2019
Land/RegioNederland
StadEgmond aan Zee
Periode30/09/194/10/19

Bibliografische nota

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Financiering

Acknowledgments This work was supported by Eindhoven University of Technology, Has-selt University (Project BOF17NI01) and the Research Foundation Flanders (FWO, Project G051418N).

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