Projection-based reduced order models for flow problems: a variational multiscale approach

In this paper we present a Variational Multi-Scale stabilized formulation for a general projection-based Reduced Order Model. In the stabilized formulation we address techniques already analysed in Variational Multi-Scale-Finite Element methods: time-dependent subscales, non-linearity in the subscal...

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Detalles Bibliográficos
Autores: Reyes, Ricardo|||0000-0003-0140-9564, Codina, Ramon|||0000-0002-7412-778X
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/188114
Acceso en línea:https://hdl.handle.net/2117/188114
https://dx.doi.org/10.1016/j.cma.2020.112844
Access Level:acceso abierto
Palabra clave:Decomposition (Mathematics)
Reduced Order Model (ROM)
Finite element method
Variational Multi-Scale method (VMS)
Hyper-reduction
Proper Orthogonal Decomposition (POD)
Descomposició (Matemàtica)
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics
Descripción
Sumario:In this paper we present a Variational Multi-Scale stabilized formulation for a general projection-based Reduced Order Model. In the stabilized formulation we address techniques already analysed in Variational Multi-Scale-Finite Element methods: time-dependent subscales, non-linearity in the subscales approximation and orthogonality between the solution space and the subscale space. Additionally, we describe a mesh based hyper-Reduced Order Model technique and implement a Petrov–Galerkin projection technique. At the end of the article, we test the proposed Reduced Order Model formulation using the incompressible Navier–Stokes problem.