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Wavelet-based adaptive unsteady Reynolds-averaged turbulence modelling of external flows

Published online by Cambridge University Press:  05 January 2018

Giuliano De Stefano Open the ORCID record for Giuliano De Stefano [Opens in a new window] ,
Oleg V. Vasilyev Open the ORCID record for Oleg V. Vasilyev [Opens in a new window]  and
Eric Brown-Dymkoski
Giuliano De Stefano*
Affiliation:
Dipartimento di Ingegneria Industriale e dell’Informazione, Università della Campania, Aversa I-81031, Italy
Oleg V. Vasilyev*
Affiliation:
Skolkovo Institute of Science and Technology, Moscow 143026, Russia NorthWest Research Associates, Boulder, CO 80301, USA Department of Mechanical Engineering, University of Colorado, Boulder, CO 80309, USA
Eric Brown-Dymkoski
Affiliation:
Department of Mechanical Engineering, University of Colorado, Boulder, CO 80309, USA
*
†Email addresses for correspondence: [email protected], [email protected], [email protected]
†Email addresses for correspondence: [email protected], [email protected], [email protected]
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Abstract

The recent development of the adaptive-anisotropic wavelet-collocation method, which incorporates the use of coordinate transforms, opens new horizons for wavelet-based simulations of wall-bounded turbulent flows. The new wavelet-based adaptive unsteady Reynolds-averaged Navier–Stokes approach for computational modelling of turbulent flows is presented. The proposed methodology that is integrated with anisotropic wavelet-based mesh refinement is demonstrated for a two-equation eddy-viscosity turbulence model. The performance of the method is assessed by conducting numerical simulations of the turbulent flow past a circular cylinder at subcritical Reynolds number. The present study demonstrates both the feasibility and the effectiveness of the new wavelet-based adaptive unsteady Reynolds-averaged turbulence modelling procedure for external flows.

JFM classification

Mathematical Foundations: Computational methods Turbulent Flows: Turbulence modelling Turbulent Flows: Turbulence simulation
Type
JFM Papers
Information
Journal of Fluid Mechanics , Volume 837 , 25 February 2018 , pp. 765 - 787
Copyright
© 2018 Cambridge University Press 

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