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

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Tsiolakis, Vasileios
Giacomini, MatteoMés informacióMés informacióMés informació
Sevilla Cárdenas, RubénMés informació
Othmer, Carsten
Huerta, AntonioMés informacióMés informacióMés informació
Document typeArticle
Defense date2022-01-15
PublisherElsevier
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 4.0 International
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 4.0 International
ProjectAdMoRe - Empowered decision-making in simulation-based engineering: Advanced Model Reduction for real-time, inverse and optimization in industrial problems (EC-H2020-675919)
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 convectiondominated fully-developed turbulent incompressible flows, with Reynolds number up to one million.
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© 2022 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
CitationTsiolakis, V. [et al.]. Parametric solutions of turbulent incompressible flows in OpenFOAM via the proper generalised decomposition. "Journal of Computational Physics", 15 Gener 2022, vol. 449, p. 110802:1-110802:25. 
URIhttp://hdl.handle.net/2117/365271
DOI10.1016/j.jcp.2021.110802
ISSN1090-2716
Publisher versionhttps://www.sciencedirect.com/science/article/pii/S0021999121006975
Other identifiershttps://arxiv.org/abs/2006.07073
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