Parametric solutions of turbulent incompressible flows in OpenFOAM via the proper generalised decomposition
arXiv:2006.07073 · doi:10.1016/j.jcp.2021.110802
Abstract
An a priori reduced order method based on the proper generalised decomposition (PGD) is proposed to compute parametric solutions involving turbulent incompressible flows of interest in an industrial context, using OpenFOAM. The PGD framework is applied for the first time to the incompressible Navier-Stokes equations in the turbulent regime, to compute a generalised solution for velocity, pressure and turbulent viscosity, explicitly depending on the design parameters of the problem. In order to simulate flows of industrial interest, a minimally intrusive implementation based on OpenFOAM SIMPLE algorithm applied to the Reynolds-averaged Navier-Stokes equations with the Spalart-Allmaras turbulence model is devised. The resulting PGD strategy is applied to parametric flow control problems and achieves both qualitative and quantitative agreement with the full order OpenFOAM solution for convection-dominated fully-developed turbulent incompressible flows, with Reynolds number up to one million.
44 pages, 13 figures, 2 tables
References in corpus (8)
- Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows
- A reduced order variational multiscale approach for turbulent flows
- Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM
- A second-order face-centred finite volume method for elliptic problems
- Parametric solutions involving geometry integrated with computer-aided design
- Separated response surfaces for flows in parametrised domains: comparison of a priori and a posteriori PGD algorithms
- A second-order face-centred finite volume method on general meshes with automatic mesh adaptation
- Hybridisable discontinuous Galerkin solution of geometrically parametrised Stokes flows