A domain decomposition non-intrusive reduced order model for turbulent flows
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Publication:1735013
DOI10.1016/j.compfluid.2019.02.012zbMath1411.76072OpenAlexW2914208769WikidataQ128368661 ScholiaQ128368661MaRDI QIDQ1735013
Publication date: 28 March 2019
Published in: Computers and Fluids (Search for Journal in Brave)
Full work available at URL: https://cronfa.swan.ac.uk/Record/cronfa48945
finite element methoddomain decompositionturbulent flowsmachine learninggaussian process regressionnon-intrusive reduced order modellingurban flows
Navier-Stokes equations for incompressible viscous fluids (76D05) Finite element methods applied to problems in fluid mechanics (76M10) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60)
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Cites Work
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