Please use this identifier to cite or link to this item: https://doi.org/10.1002/nme.674
Title: DSC solution for flow in a staggered double lid driven cavity
Authors: Zhou, Y.C.
Patnaik, B.S.V. 
Wan, D.C. 
Wei, G.W. 
Keywords: Benchmark solution
Cavity flows
CFD
Discrete singular convolution
Wavelets
Issue Date: 14-May-2003
Citation: Zhou, Y.C., Patnaik, B.S.V., Wan, D.C., Wei, G.W. (2003-05-14). DSC solution for flow in a staggered double lid driven cavity. International Journal for Numerical Methods in Engineering 57 (2) : 211-234. ScholarBank@NUS Repository. https://doi.org/10.1002/nme.674
Abstract: A benchmark quality solution is presented for flow in a staggered double lid driven cavity obtained by using the wavelet-based discrete singular convolution (DSC). The proposed wavelet based algorithm combines local methods' flexibility and global methods' accuracy, and hence, is a promising approach for achieving the high accuracy solution of the Navier-Stokes equations. Block structured grids with pseudo-overlapping subdomains are employed in the present simulation. A third order Runge-Kutta scheme is used for the temporal discretization. Quantitative results are presented, apart from the qualitative fluid flow patterns. The prevalence of rich features of flow morphology, such as two primary vortex patterns, merged single primary vortex patterns, and secondary eddies, makes this problem very attractive and interesting. The problem is quite challenging for the possible existence of numerically induced asymmetric flow patterns and elliptic instability. Important computational issues like consistence, convergence and reliability of the numerical scheme are examined. The DSC algorithm is tested on the single lid driven cavity flow and the Taylor problem with a closed form solution. The double lid driven cavity simulations are cross-validated with the standard second order finite volume method. © 2003 John Wiley and Sons, Ltd.
Source Title: International Journal for Numerical Methods in Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/104765
ISSN: 00295981
DOI: 10.1002/nme.674
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