Parametric solutions of turbulent incompressible flows in OpenFOAM via the proper generalised decomposition

Author (s): Tsiolakis, V.; Giacomini, M.; Sevilla, R.; Othmer, C.; Huerta, A.
Journal: Journal of Computational Physics

Volume: 449
Date: 2022

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.

Journal paper (from the publisher)  
Download file (0 MBytes)  

Bibtex:

@article{Tsiolakis-TGSOH-22,
        author = {Vasileios Tsiolakis and Matteo Giacomini and Ruben Sevilla and 
		  Carsten Othmer and Antonio Huerta},
        title = {Parametric solutions of turbulent incompressible flows in {OpenFOAM} 
		 via the proper generalised decomposition},
        fjournal = {Journal of Computational Physics},
        journal = {J. Comput. Phys.},
        volume = {449},
        pages = {110802},
        year = {2022},
        doi = {10.1016/j.jcp.2021.110802}
}