An optimally stable approximation of reactive transport using discrete test and infinite trial spaces

Renelt, Lukas; Ohlberger, Mario; Engwer, Christian

Research article in edited proceedings (conference) | Peer reviewed

Abstract

In this contribution we propose an optimally stable ultraweak Petrov-Galerkin variational formulation and subsequent discretization for stationary reactive transport problems. The discretization is exclusively based on the choice of discrete approximate test spaces, while the trial space is a priori infinite dimensional. The solution in the trial space or even only functional evaluations of the solution are obtained in a post-processing step. We detail the theoretical framework and demonstrate its usage in a numerical experiment that is motivated from modeling of catalytic filters.

Details about the publication

PublisherFranck, Emmanuel; Fuhrmann, Jürgen;, Michel-Dansac, Victor; Navoret, Laurent
Book titleFinite Volumes for Complex Applications X—Volume 2, Hyperbolic and Related Problems (Volume 2)
Page range289-298
Publishing companySpringer
Place of publicationCham
Title of seriesSpringer Proceedings in Mathematics & Statistics (ISSN: 2194-1017)
StatusPublished
Release year2023 (13/10/2023)
Language in which the publication is writtenEnglish
Conference International Conference on Finite Volumes for Complex Applications, Strasbourg, France
ISBN978-3-031-40860-1
DOI10.1007/978-3-031-40860-1_30
Link to the full texthttps://link.springer.com/chapter/10.1007/978-3-031-40860-1_30
Keywordsoptimal stability; reactive transport; ultraweak formulation

Authors from the University of Münster

Engwer, Christian
Professorship for Applications of Partial Differential Equations
Center for Nonlinear Science
Ohlberger, Mario
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Center for Nonlinear Science
Center for Multiscale Theory and Computation
Renelt, Lukas
Professorship for Applications of Partial Differential Equations
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)