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Regularization modelling for large‐eddy simulation in wall‐bounded turbulence: An explicit filtering‐based approach
Author(s) -
Chatterjee Tanmoy,
Peet Yulia T.
Publication year - 2018
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/fld.4508
Subject(s) - large eddy simulation , regularization (linguistics) , turbulence , turbulence modeling , open channel flow , filter (signal processing) , reynolds number , computation , mechanics , direct numerical simulation , mathematics , algorithm , statistical physics , physics , computer science , artificial intelligence , computer vision
Summary A comprehensive analysis of a filtering‐based regularization model for large‐eddy simulation has been carried out for fully developed turbulent channel flow, and its potency as a large‐eddy simulation candidate has been tested by comparison with eddy‐viscosity subgrid‐scale models. The exponentially accurate spectral element method, particularly open‐source code Nek5000, has been used for such computations. The simulations in the channel flow have been performed at moderately high bulk Reynolds number on the basis of half channel width, 20 000, and compared against the direct numerical simulation database for the mean flow profile, second‐order statistics, and their streamwise energy spectra. The results show that the filtering‐based regularization model is in reasonably good agreement with the subgrid‐scale models, and they also elucidate valuable insights on the filter‐based regularization.