On a Proper Tensor-Diffusivity Model for Large-Eddy Simulations of Buoyancy-Driven Flows

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Abstract

In this work, we plan to shed light on the following research question: can we find a nonlinear subgrid-scale (SGS) heat flux model with good physical and numerical properties, such that we can obtain satisfactory predictions for buoyancy-driven turbulent flows? This is motivated by our findings showing that the classical (linear) eddy-diffusivity assumption fails to provide a reasonable approximation for the SGS heat flux. This was shown in our work [1] where SGS features have been studied a priori for a Rayleigh–Bénard convection (RBC). We also concluded that nonlinear (or tensorial) models can give good approximations of the actual SGS heat flux. Briefly, the large-eddy simulation (LES) equations arise from applying a spatial commutative filter, with filter length δ, to the incompressible Navier–Stokes and thermal energy equations.

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Trias, F. X., Dabbagh, F., Gorobets, A., & Oliva, A. (2020). On a Proper Tensor-Diffusivity Model for Large-Eddy Simulations of Buoyancy-Driven Flows. In ERCOFTAC Series (Vol. 27, pp. 417–423). Springer. https://doi.org/10.1007/978-3-030-42822-8_55

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