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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Bibliographic Details
Published inApplied numerical mathematics Vol. 120; pp. 35 - 52
Main Authors Hessari, Peyman, Shin, Byeong-Chun
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.10.2017
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ISSN0168-9274
1873-5460
DOI10.1016/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.
ISSN:0168-9274
1873-5460
DOI:10.1016/j.apnum.2017.04.010