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Hybrid LES/URANS Simulation of Rayleigh-Bénard Convection Using BEM

Primož Kocutar1, *, Jure Ravnik1, Leopold Škerget1

1 Faculty of Mechanical Engineering, University of Maribor, Smetanova 17, SI-2000 Maribor, Slovenia.

∗ Corresponding Author: Primož Kocutar. Email: email.

Computer Modeling in Engineering & Sciences 2020, 123(1), 1-22. https://doi.org/10.32604/cmes.2020.08728

Abstract

In this paper, we develop and test a unified hybrid LES/URANS turbulence model with two different Large Eddy Simulation (LES) turbulence models. The numerical algorithm is based on the Boundary Element Method. In the existing hybrid LES/URANS turbulence model we implemented a new Smagorinsky LES turbulence model. The hybrid LES/URANS turbulence model is unified, which means that the LES/URANS interface is changed dynamically during simulation using a physical quantity. In order to define the interface between LES and unsteady Reynolds Averaged Navier Stokes (URANS) zones during the simulation, we use the Reynolds number based on turbulent kinetic energy as a switching criterion. This means that the flow characteristics define where the sub-grid scale or URANS effective viscosity and thermal conductivity are used in the governing equations in the next time step. In unified hybrid turbulence models, only one set of governing equations is used for LES and URANS regions. The developed hybrid LES/URANS model was tested on non-isothermal, unsteady and turbulent Rayleigh-Bénard Convection and compared with an existing model, where LES is based on turbulent kinetic energy. The hybrid turbulence model was implemented within a numerical algorithm based on the Boundary-Domain Integral Method, where a single domain and sub-domain approaches were used. The numerical algorithm uses governing equations written in a velocity-vorticity form. The false transient time scheme is used for the kinematics equation.

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Cite This Article

Kocutar, P., Ravnik, J., Škerget, L. (2020). Hybrid LES/URANS Simulation of Rayleigh-Bénard Convection Using BEM. CMES-Computer Modeling in Engineering & Sciences, 123(1), 1–22.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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