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.