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Numerical solution of incompressible flows by discrete singular convolution
Author(s) -
Wan D. C.,
Zhou Y. C.,
Wei G. W.
Publication year - 2002
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.253
Subject(s) - solver , convolution (computer science) , benchmark (surveying) , compressibility , mathematics , flow (mathematics) , incompressible flow , taylor series , mathematical analysis , mathematical optimization , geometry , mechanics , computer science , physics , geodesy , machine learning , artificial neural network , geography
A discrete singular convolution (DSC) solver is developed for treating incompressible flows. Three different two‐dimensional benchmark problems, the Taylor problem, the driven cavity flow, and a periodic shear layer flow, are utilized to test the accuracy, to explore the reliability and to demonstrate the efficiency of the present approach. Solution of extremely high accuracy is attained in the analytically solvable Taylor problem. The results of treating the other problems are in excellent agreement with those in the literature. Copyright © 2002 John Wiley & Sons, Ltd.