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Published in:
2011 | OriginalPaper | Chapter
Spatially Variable Thresholding for Stochastic Coherent Adaptive LES
Authors : AliReza Nejadmalayeri, Oleg V. Vasilyev, Alexei Vezolainen, Giuliano De Stefano
Published in: Direct and Large-Eddy Simulation VIII
Publisher: Springer Netherlands
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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.