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Hierarchical Local Model Reduction for Elliptic Problems: A Domain Decomposition Approach
Author(s) -
Simona Perotto,
Alexandre Ern,
Alessandro Veneziani
Publication year - 2010
Publication title -
multiscale modeling and simulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.037
H-Index - 70
eISSN - 1540-3467
pISSN - 1540-3459
DOI - 10.1137/090756624
Subject(s) - domain decomposition methods , reduction (mathematics) , domain (mathematical analysis) , context (archaeology) , modal , computer science , mathematics , model order reduction , feature (linguistics) , mathematical optimization , algorithm , mathematical analysis , geometry , finite element method , physics , biology , thermodynamics , projection (relational algebra) , paleontology , linguistics , chemistry , philosophy , polymer chemistry
International audienceSome engineering applications, for instance related to fluid dynamics in pipe or channel networks, feature a dominant spatial direction along which the most relevant dynamics develop. Nevertheless, local features of the problem depending on the other directions, that we call \emph{transverse}, can be locally relevant to the whole problem. We propose in the context of elliptic problems such as advection--diffusion--reaction equations, a hierarchical model reduction approach in which a coarse model featuring only the dominant direction dynamics is enriched locally by a fine model that accounts for the transverse variables via an appropriate modal expansion. We introduce a domain decomposition approach allowing us to employ a different number of modal functions in different parts of the domain according to the local complexity of the problem at hand. The methodology is investigated numerically on several test cases

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