A domain decomposition non-intrusive reduced order model for turbulent flows

DOI10.1016/j.compfluid.2019.02.012zbMath1411.76072OpenAlexW2914208769WikidataQ128368661 ScholiaQ128368661MaRDI QIDQ1735013

Xianqiang Yang

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

zbMATH Keywords

finite element methoddomain decompositionturbulent flowsmachine learninggaussian process regressionnon-intrusive reduced order modellingurban flows

Mathematics Subject Classification ID

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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Uses Software

• PETSc
• ParMETIS
• Scikit

Cites Work

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