Spatially Variable Thresholding for Stochastic Coherent Adaptive LES
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.
KeywordsLarge Eddy Simulation Isotropic Turbulence Wavelet Threshold Relaxation Time Parameter Energetic Structure
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