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Parametric POD-Galerkin Model Order Reduction for Unsteady-State Heat Transfer Problems

Parametric POD-Galerkin Model Order Reduction for Unsteady-State Heat Transfer Problems
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Year:    2020

Author:    Sokratia Georgaka, Giovanni Stabile, Gianluigi Rozza, Michael J. Bluck

Communications in Computational Physics, Vol. 27 (2020), Iss. 1 : pp. 1–32

Abstract

A parametric reduced order model based on proper orthogonal decomposition with Galerkin projection has been developed and applied for the modeling of heat transport in T-junction pipes which are widely found in nuclear power reactor cooling systems. Thermal mixing of different temperature coolants in T-junction pipes leads to temperature fluctuations and this could potentially cause thermal fatigue in the pipe walls. The novelty of this paper is the development of a parametric ROM considering the three dimensional, incompressible, unsteady Navier-Stokes equations coupled with the heat transport equation in a finite volume regime. Two different parametric cases are presented in this paper: parametrization of the inlet temperatures and parametrization of the kinematic viscosity. Different training spaces are considered and the results are compared against the full order model. The first test case results to a computational speed-up factor of 374 while the second test case to one of 211.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2018-0207

Communications in Computational Physics, Vol. 27 (2020), Iss. 1 : pp. 1–32

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    32

Keywords:    Proper orthogonal decomposition finite volume approximation Poisson equation for pressure inf-sup approximation supremizer velocity space enrichment Navier-Stokes equations.

Author Details

Sokratia Georgaka

Giovanni Stabile

Gianluigi Rozza

Michael J. Bluck

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