Assessment of turbulence hybrid models with transition modeling for the simulation of massively separated flows - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2023

Assessment of turbulence hybrid models with transition modeling for the simulation of massively separated flows

Résumé

In the proposed communication, several hybrid turbulence models, possibly equipped with transition modeling, are evaluated on the simulation of the flow around a circular cylinder in the supercritical regime and over an airfoil at incidence. The flow through the Caradonna-Tung rotor will complete the benchmarks considered in this study. The first hybrid approach investigated in this work is the classical Delayed Detached Eddy Simulation (DDES) model. The two other hybrid models combine either a RANS model or the DDDES approach with a dynamic variational multiscale large eddy simulation (DVMS) model. A smooth blending function, which is based on the value of a blending parameter, is used for switching from RANS to DVMS in the RANS/DVMS strategy [1]. In the DDES/DVMS approach [2], the DVMS model is preferentially activated in the wake in order to more accurately predict this region of the flow thanks to the low dissipation introduced by this model. With the aim of improving the prediction of the targeted flows, a new kεγ transition model based on the model of Akhter [3] is also developped and used in these hybrid approaches. Results are compared to those of other RANS, LES and hybrid simulations in the literature and with experimental data, and highlight the overall good prediction capabilities of the proposed hybrid strategies for the simulation of such massively separated flows, with often a significant improvement when the transition model is activated.
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Dates et versions

hal-04372534 , version 1 (04-01-2024)

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  • HAL Id : hal-04372534 , version 1

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F Miralles, B Sauvage, S Wornom, Bruno Koobus, Alain Dervieux. Assessment of turbulence hybrid models with transition modeling for the simulation of massively separated flows. CFC 2023 - Computational Fluids Conference, Apr 2023, Cannes, France. ⟨hal-04372534⟩
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