First order system least squares pseudo-spectral method for Stokes–Darcy equations
The subject of this paper is to investigate the first order system least squares Legendre and Chebyshev pseudo-spectral methods for coupled Stokes–Darcy equations. By introducing strain tensor as a new variable, Stokes–Darcy equations recast into a system of first order differential equations. The l...
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Published in | Applied numerical mathematics Vol. 120; pp. 35 - 52 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.10.2017
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Subjects | |
Online Access | Get full text |
ISSN | 0168-9274 1873-5460 |
DOI | 10.1016/j.apnum.2017.04.010 |
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Summary: | The subject of this paper is to investigate the first order system least squares Legendre and Chebyshev pseudo-spectral methods for coupled Stokes–Darcy equations. By introducing strain tensor as a new variable, Stokes–Darcy equations recast into a system of first order differential equations. The least squares functional is defined by summing up the weighted L2-norm of residuals of the first order system for coupled Stokes–Darcy equations. To treat Beavers–Joseph–Saffman interface conditions, the weighted L2-norm of these conditions are also added to the least squares functional. Continuous and discrete homogeneous functionals are shown to be equivalent to the combination of weighted H(div) and H1-norm for Stokes–Darcy equations. The spectral convergence for the Legendre and Chebyshev methods are derived. To demonstrate this analysis, numerical experiments are also presented. |
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ISSN: | 0168-9274 1873-5460 |
DOI: | 10.1016/j.apnum.2017.04.010 |