A hybrid reduced order method for modelling turbulent heat transfer problems

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A hybrid reduced order method for modelling turbulent heat transfer problems. / Georgaka, Sokratia; Stabile, Giovanni; Star, Kelbij; Rozza, Gianluigi; Bluck, Michael J.

In: Computers & Fluids, Vol. 208, 104615, 08.2020, p. 1-13.

Research output: Contribution to journalArticle

Harvard

Georgaka, S, Stabile, G, Star, K, Rozza, G & Bluck, MJ 2020, 'A hybrid reduced order method for modelling turbulent heat transfer problems', Computers & Fluids, vol. 208, 104615, pp. 1-13. https://doi.org/10.1016/j.compfluid.2020.104615

APA

Georgaka, S., Stabile, G., Star, K., Rozza, G., & Bluck, M. J. (2020). A hybrid reduced order method for modelling turbulent heat transfer problems. Computers & Fluids, 208, 1-13. [104615]. https://doi.org/10.1016/j.compfluid.2020.104615

Vancouver

Georgaka S, Stabile G, Star K, Rozza G, Bluck MJ. A hybrid reduced order method for modelling turbulent heat transfer problems. Computers & Fluids. 2020 Aug;208:1-13. 104615. https://doi.org/10.1016/j.compfluid.2020.104615

Author

Georgaka, Sokratia ; Stabile, Giovanni ; Star, Kelbij ; Rozza, Gianluigi ; Bluck, Michael J. / A hybrid reduced order method for modelling turbulent heat transfer problems. In: Computers & Fluids. 2020 ; Vol. 208. pp. 1-13.

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@article{474e4974b899464083486caa7a0965eb,
title = "A hybrid reduced order method for modelling turbulent heat transfer problems",
abstract = "A parametric, hybrid reduced order method based on the Proper Orthogonal Decomposition with both Galerkin projection and interpolation based on Radial Basis Functions method is presented. This method is tested on a case of turbulent non-isothermal mixing in a T-junction pipe, a common flow arrangement found in nuclear reactor cooling systems. The reduced order model is derived from the 3D unsteady, incompressible Navier-Stokes equations weakly coupled with the energy equation. For high Reynolds numbers, the eddy viscosity and eddy diffusivity are incorporated into the Reduced Order Model with a Proper Orthogonal Decomposition (nested and standard) with Interpolation (PODI), where the interpolation is performed using Radial Basis Functions. The reduced order solver, obtained using a k-w SST Unsteady Reynolds Averaged Navier-Stokes full order model, is tested against the full order solver in a 3D T-junction pipe with parameterised velocity inlet boundary conditions.",
keywords = "Proper orthogonal decomposition, POD-Galerkin, Finite volume approximation, Heat transfer, Radial basis functions, Nested proper orthogonal decomposition, Navier-Stokes equations",
author = "Sokratia Georgaka and Giovanni Stabile and Kelbij Star and Gianluigi Rozza and Bluck, {Michael J.}",
note = "Score=10",
year = "2020",
month = "8",
doi = "10.1016/j.compfluid.2020.104615",
language = "English",
volume = "208",
pages = "1--13",
journal = "Computers & Fluids",
issn = "0045-7930",
publisher = "Pergamon - Elsevier",

}

RIS - Download

TY - JOUR

T1 - A hybrid reduced order method for modelling turbulent heat transfer problems

AU - Georgaka, Sokratia

AU - Stabile, Giovanni

AU - Star, Kelbij

AU - Rozza, Gianluigi

AU - Bluck, Michael J.

N1 - Score=10

PY - 2020/8

Y1 - 2020/8

N2 - A parametric, hybrid reduced order method based on the Proper Orthogonal Decomposition with both Galerkin projection and interpolation based on Radial Basis Functions method is presented. This method is tested on a case of turbulent non-isothermal mixing in a T-junction pipe, a common flow arrangement found in nuclear reactor cooling systems. The reduced order model is derived from the 3D unsteady, incompressible Navier-Stokes equations weakly coupled with the energy equation. For high Reynolds numbers, the eddy viscosity and eddy diffusivity are incorporated into the Reduced Order Model with a Proper Orthogonal Decomposition (nested and standard) with Interpolation (PODI), where the interpolation is performed using Radial Basis Functions. The reduced order solver, obtained using a k-w SST Unsteady Reynolds Averaged Navier-Stokes full order model, is tested against the full order solver in a 3D T-junction pipe with parameterised velocity inlet boundary conditions.

AB - A parametric, hybrid reduced order method based on the Proper Orthogonal Decomposition with both Galerkin projection and interpolation based on Radial Basis Functions method is presented. This method is tested on a case of turbulent non-isothermal mixing in a T-junction pipe, a common flow arrangement found in nuclear reactor cooling systems. The reduced order model is derived from the 3D unsteady, incompressible Navier-Stokes equations weakly coupled with the energy equation. For high Reynolds numbers, the eddy viscosity and eddy diffusivity are incorporated into the Reduced Order Model with a Proper Orthogonal Decomposition (nested and standard) with Interpolation (PODI), where the interpolation is performed using Radial Basis Functions. The reduced order solver, obtained using a k-w SST Unsteady Reynolds Averaged Navier-Stokes full order model, is tested against the full order solver in a 3D T-junction pipe with parameterised velocity inlet boundary conditions.

KW - Proper orthogonal decomposition

KW - POD-Galerkin

KW - Finite volume approximation

KW - Heat transfer

KW - Radial basis functions

KW - Nested proper orthogonal decomposition

KW - Navier-Stokes equations

UR - https://ecm.sckcen.be/OTCS/llisapi.dll?func=ll&objId=43124866&objAction=download

U2 - 10.1016/j.compfluid.2020.104615

DO - 10.1016/j.compfluid.2020.104615

M3 - Article

VL - 208

SP - 1

EP - 13

JO - Computers & Fluids

JF - Computers & Fluids

SN - 0045-7930

M1 - 104615

ER -

ID: 7092514