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Flux-mortar mixed finite element methods on nonmatching grids
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Numerical Analysis, NA.ORCID iD: 0000-0003-4080-2369
Univ Stuttgart, Inst Modelling Hydraul & Environm Syst, D-70569 Stuttgart, Germany..
Univ Stuttgart, Inst Modelling Hydraul & Environm Syst, D-70569 Stuttgart, Germany..
Univ Pittsburgh, Dept Math, Pittsburgh, PA 15260 USA..
2022 (English)In: SIAM Journal on Numerical Analysis, ISSN 0036-1429, E-ISSN 1095-7170, Vol. 60, no 3, p. 1193-1225Article in journal (Refereed) Published
Abstract [en]

We investigate a mortar technique for mixed finite element approximations of a class of domain decomposition saddle point problems on nonmatching grids in which the variable associated with the essential boundary condition, referred to as flux, is chosen as the coupling variable. It plays the role of a Lagrange multiplier to impose weakly continuity of the variable associated with the natural boundary condition. The flux-mortar variable is incorporated with the use of a discrete extension operator. We present well-posedness and error analysis in an abstract setting under a set of suitable assumptions, followed by a nonoverlapping domain decomposition algorithm that reduces the global problem to a positive definite interface problem. The abstract theory is illustrated for Darcy flow, where the normal flux is the mortar variable used to impose continuity of pressure, and for Stokes flow, where the velocity vector is the mortar variable used to impose continuity of normal stress. In both examples, suitable discrete extension operators are developed and the assumptions from the abstract theory are verified. Numerical studies illustrating the theoretical results are presented for Darcy flow.

Place, publisher, year, edition, pages
Society for Industrial & Applied Mathematics (SIAM) , 2022. Vol. 60, no 3, p. 1193-1225
Keywords [en]
mixed finite element, domain decomposition, nonmatching grids, a priori error analysis, flux-mortar method
National Category
Mathematical Analysis
Identifiers
URN: urn:nbn:se:kth:diva-315427DOI: 10.1137/20M1361407ISI: 000814569400008Scopus ID: 2-s2.0-85133576086OAI: oai:DiVA.org:kth-315427DiVA, id: diva2:1681638
Note

QC 20230404

Available from: 2022-07-07 Created: 2022-07-07 Last updated: 2023-04-04Bibliographically approved

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Boon, Wietse M.

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