Wavelet-based adaptive large-eddy simulation with explicit filtering

  • Authors:

  • Giuliano De Stefano;Oleg V. Vasilyev

  • Affiliations:

  • Dipartimento di Ingegneria Aerospaziale e Meccanica, Seconda Universití di Napoli, Italy;Department of Mechanical Engineering, University of Colorado, 427 UCB, Boulder, CO 80309, USA

  • Venue:
  • Journal of Computational Physics
  • Year:
  • 2013

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Abstract

Stochastic coherent adaptive large-eddy simulation is a novel approach to the numerical simulation of turbulence, where the coherent energetic eddies are solved for, while modeling the influence of the less energetic coherent/incoherent background flow. The formal separation between resolved and unresolved field is obtained by wavelet threshold filtering that is inherent to the adaptive wavelet collocation numerical method. A new explicit wavelet filtering strategy is introduced and tested, by considering two different filtering levels: the physical level, which controls the turbulence model, and the numerical level that is responsible for the accuracy of numerical simulations. The theoretical basis for wavelet-based adaptive large-eddy simulation with explicit filtering and consistent dynamic modeling is given. Numerical experiments are presented for unsteady homogeneous turbulence, demonstrating the existence of grid-independent solutions.