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Wall-resolved wavelet-based adaptive large-eddy simulation of bluff-body flows with variable thresholding

Published online by Cambridge University Press:  05 January 2016

Giuliano De Stefano ,
Alireza Nejadmalayeri  and
Oleg V. Vasilyev
Giuliano De Stefano
Affiliation:
Dipartimento di Ingegneria Industriale e dell’Informazione, Seconda Università di Napoli, I 81031 Aversa, Italy
Alireza Nejadmalayeri
Affiliation:
FortiVenti Inc., Suite 404, 999 Canada Place, Vancouver, BC, V6C 3E2, Canada
Oleg V. Vasilyev*
Affiliation:
Department of Mechanical Engineering, University of Colorado, Boulder, CO 80309, USA
*
†Email address for correspondence: oleg.vasilyev@colorado.edu
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Abstract

The wavelet-based eddy-capturing approach with variable thresholding is extended to bluff-body flows, where the obstacle geometry is enforced through Brinkman volume penalization. The use of a spatio-temporally varying threshold allows one to perform adaptive large-eddy simulations with the prescribed fidelity on a near optimal computational mesh. The space–time evolution of the threshold variable is achieved by solving a transport equation based on the Lagrangian path-line diffusive averaging methodology. The coupled wavelet-collocation/volume-penalization approach with variable thresholding is illustrated for a turbulent incompressible flow around an isolated stationary prism with square cross-section. Wavelet-based adaptive large-eddy simulations supplied with the one-equation localized dynamic kinetic energy-based model are successfully performed at moderately high Reynolds number. The present study demonstrates that the proposed variable thresholding methodology for wavelet-based modelling of turbulent flows around solid obstacles is feasible, accurate and efficient.

JFM classification

Mathematical Foundations: Computational methods Turbulent Flows: Turbulence modelling Turbulent Flows: Turbulence simulation

Information

Type
Papers
Information
Journal of Fluid Mechanics , Volume 788 , 10 February 2016 , pp. 303 - 336
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© 2016 Cambridge University Press 

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