A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step

A Finite-Volume based POD-Galerkin reduced order modeling strategy for steady-state Reynolds averaged Navier–Stokes (RANS) simulation is extended low-Prandtl number flow. The model on a full which the effects of buoyancy flow and heat transfer are characterized by varying Richardson number. stresses computed with linear eddy viscosity model. single gradient diffusion hypothesis, together local correlation evaluation turbulent Prandtl number, used to fluxes. contribution thermal diffusivity fields considered in an interpolation data-driven method. tested buoyancy-aided liquid sodium over vertical backward-facing step uniform flux applied wall downstream step. incorporated Neumann boundary condition both velocity temperature profiles predicted same new numbers inside range parameter values good agreement RANS simulations. Also, Stanton skin friction distribution at heated qualitatively well captured. Finally, simulations, performed core, about 105 times faster than simulations that eight cores.