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hal.structure.identifierModeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
dc.contributor.authorTADDEI, Tommaso
hal.structure.identifierTongji University
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorXU, Xuejun
hal.structure.identifierTongji University
dc.contributor.authorZHANG, Lei
dc.date.accessioned2024-04-04T02:31:28Z
dc.date.available2024-04-04T02:31:28Z
dc.date.issued2023
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190311
dc.description.abstractEnWe present a component-based model order reduction procedure to efficiently and accurately solve parameterized incompressible flows governed by the Navier-Stokes equations. Our approach leverages a non-overlapping optimization-based domain decomposition technique to determine the control variable that minimizes jumps across the interfaces between sub-domains. To solve the resulting constrained optimization problem, we propose both Gauss-Newton and sequential quadratic programming methods, which effectively transform the constrained problem into an unconstrained formulation. Furthermore, we integrate model order reduction techniques into the optimization framework, to speed up computations. In particular, we incorporate localized training and adaptive enrichment to reduce the burden associated with the training of the local reduced-order models. Numerical results are presented to demonstrate the validity and effectiveness of the overall methodology.
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.encomponent-based model order reduction
dc.subject.enoptimization-based domain decomposition
dc.subject.ennon-overlapping methods
dc.subject.enNavier-Stokes equations
dc.title.enA non-overlapping optimization-based domain decomposition approach to component-based model reduction of incompressible flows
dc.typeDocument de travail - Pré-publication
dc.identifier.doi10.48550/arXiv.2310.20267
dc.subject.halMathématiques [math]
dc.subject.halSciences de l'ingénieur [physics]
dc.identifier.arxiv2310.20267
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
hal.identifierhal-04382123
hal.version1
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04382123v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2023&rft.au=TADDEI,%20Tommaso&XU,%20Xuejun&ZHANG,%20Lei&rft.genre=preprint


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