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Spatially Variable Thresholding for Stochastic Coherent Adaptive LES

  • AliReza Nejadmalayeri
  • Oleg V. Vasilyev
  • Alexei Vezolainen
  • Giuliano De Stefano
Part of the ERCOFTAC Series book series (ERCO, volume 15)

Abstract

The properties of wavelet transform, viz. the ability to identify and efficiently represent temporal/spatial coherent flow structures, self-adaptiveness, and de-noising, have made them attractive candidates for constructing multi-resolution variable fidelity schemes for simulations of turbulence (Schneider and Vasilyev, 2010). Stochastic Coherent Adaptive Large Eddy Simulation (SCALES) (Goldstein and Vasilyev, 2004) is the most recent wavelet-based methodology for numerical simulations of turbulent flows that resolves energy containing turbulent motions using wavelet multi-resolution decomposition and self-adaptivity. In this technique, the extraction of the most energetic structures is achieved using wavelet thresholding filter with a priori prescribed threshold level.

Keywords

Large Eddy Simulation Isotropic Turbulence Wavelet Threshold Relaxation Time Parameter Energetic Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • AliReza Nejadmalayeri
    • 1
  • Oleg V. Vasilyev
  • Alexei Vezolainen
  • Giuliano De Stefano
  1. 1.Department of Mechanical EngineeringUniversity of ColoradoBoulderUSA

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