Volume 52, Number 5, September–October 2018
|Page(s)||2003 - 2035|
|Published online||14 December 2018|
Numerical analysis of the mixed finite element method for the neutron diffusion eigenproblem with heterogeneous coefficients
POEMS, ENSTA ParisTech, CNRS, INRIA,
828 Bd des Maréchaux,
Palaiseau Cedex, France.
2 DEN-Service d’Etudes des Réacteurs et de Mathématiques Appliquées-SERMA, LLPR, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette Cedex, France.
3 DEN-Service de Thermo-hydraulique et de Mécanique des Fluides-STMF, LMSF, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette Cedex, France.
4 Laboratoire de Mathématiques de Versailles, UVSQ, 45 Av des Etats-Unis, 78035 Versailles Cedex, France.
* Corresponding author: email@example.com
Accepted: 25 January 2018
We study first the convergence of the finite element approximation of the mixed diffusion equations with a source term, in the case where the solution is of low regularity. Such a situation commonly arises in the presence of three or more intersecting material components with different characteristics. Then we focus on the approximation of the associated eigenvalue problem. We prove spectral correctness for this problem in the mixed setting. These studies are carried out without, and then with a domain decomposition method. The domain decomposition method can be non-matching in the sense that the traces of the finite element spaces may not fit at the interface between subdomains. Finally, numerical experiments illustrate the accuracy of the method.
Mathematics Subject Classification: 65N25 / 65N30 / 82D75
Key words: Diffusion equation / low-regularity solution / mixed formulation / eigenproblem / domain decomposition methods
© EDP Sciences, SMAI 2018
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.