Projection-based and neural-net reduced order model for nonlinear Navier-Stokes equations

DOI10.1016/J.APM.2020.07.023zbMath1481.65171OpenAlexW3048023356MaRDI QIDQ2245826

Hoang Huy Nguyen, My Ha Dao, Quang Tuyen Le, Chinchun Ooi

Publication date: 15 November 2021

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2020.07.023

zbMATH Keywords

proper orthogonal decompositionartificial neural networkNavier-StokesGalerkin projectionreduced order model

Mathematics Subject Classification ID

Navier-Stokes equations for incompressible viscous fluids (76D05) Finite volume methods for initial value and initial-boundary value problems involving PDEs (65M08)

Uses Software

• OpenFOAM

Cites Work

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• Modeling of transitional channel flow using balanced proper orthogonal decomposition

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