A hybrid reduced order method for modelling turbulent heat transfer problems

Sokratia Georgaka, Giovanni Stabile, Kelbij Star, Gianluigi Rozza, Michael J. Bluck

Research outputpeer-review


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.
Original languageEnglish
Article number104615
Pages (from-to)1-13
Number of pages13
JournalComputers & Fluids
StatePublished - Aug 2020

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