Skip to Main content Skip to Navigation

Large scale nonconforming domain decomposition methods

Abstract : This thesis investigates domain decomposition methods, commonly classified as either overlapping Schwarz methods or iterative substructuring methods relying on nonoverlapping subdomains. We mainly focus on the mortar finite element method, a nonconforming approach of substructuring method involving weak continuity constraints on the approximation space. We introduce a finiteelement framework for the design and the analysis of the substructuring preconditioners for an efficient solution of the linear system arising from such a discretization method. Particular consideration is given to the construction of the coarse grid preconditioner, specifically the main variantproposed in this work, using a Discontinuous Galerkin interior penalty method as coarse problem. Other domain decomposition methods, such as Schwarz methods and the so-called three-field method are surveyed with the purpose of establishing a generic teaching and research programming environment for a wide range of these methods. We develop an advanced computational framework dedicated to the parallel implementation of numerical methods and preconditioners introduced in this thesis. The efficiency and the scalability of the preconditioners, and the performance of parallel algorithms are illustrated by numerical experiments performed on large scale parallel architectures.
Complete list of metadata

Cited literature [79 references]  Display  Hide  Download
Contributor : ABES STAR :  Contact
Submitted on : Saturday, June 3, 2017 - 9:15:07 AM
Last modification on : Friday, March 25, 2022 - 9:40:48 AM
Long-term archiving on: : Wednesday, December 13, 2017 - 7:10:24 AM


Version validated by the jury (STAR)


  • HAL Id : tel-01092968, version 2



Abdoulaye Samaké. Large scale nonconforming domain decomposition methods. Modeling and Simulation. Université Grenoble Alpes, 2014. English. ⟨NNT : 2014GRENM066⟩. ⟨tel-01092968v2⟩



Record views


Files downloads