2021
DOI: 10.1016/j.apnum.2020.09.001
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A parallel stabilized finite element variational multiscale method based on fully overlapping domain decomposition for the incompressible Navier-Stokes equations

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Cited by 9 publications
(4 citation statements)
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“…The velocity-pressure finite element spaces are characterized by a uniform triangulation T šœ‡ (Ī©) (here, šœ‡ = h or H) with the quadratic equal-order finite elements pair. In our numerical tests, an attractive feature is that the projection (Ī  šœ‡ āˆ‡p šœ‡ , āˆ‡q) is computed by using the first-order Gauss integration āˆ« K,1 āˆ‡p šœ‡ ā€¢ āˆ‡qdx over the element K, avoiding the construction of the projection operator Ī  šœ‡ (noting that, āˆ« K,1 āˆ‡p šœ‡ ā€¢ āˆ‡qdx is equivalent to (Ī  šœ‡ āˆ‡p šœ‡ , āˆ‡q) as stated in Zheng and Shang 38 ). Besides, to ensure optimal order convergence rates of our proposed algorithms, the mesh sizes between h and H are related below.…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…The velocity-pressure finite element spaces are characterized by a uniform triangulation T šœ‡ (Ī©) (here, šœ‡ = h or H) with the quadratic equal-order finite elements pair. In our numerical tests, an attractive feature is that the projection (Ī  šœ‡ āˆ‡p šœ‡ , āˆ‡q) is computed by using the first-order Gauss integration āˆ« K,1 āˆ‡p šœ‡ ā€¢ āˆ‡qdx over the element K, avoiding the construction of the projection operator Ī  šœ‡ (noting that, āˆ« K,1 āˆ‡p šœ‡ ā€¢ āˆ‡qdx is equivalent to (Ī  šœ‡ āˆ‡p šœ‡ , āˆ‡q) as stated in Zheng and Shang 38 ). Besides, to ensure optimal order convergence rates of our proposed algorithms, the mesh sizes between h and H are related below.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…The velocityā€pressure finite element spaces are characterized by a uniform triangulation TĪ¼false(normalĪ©false)$$ {T}_{\mu}\left(\Omega \right) $$ (here, Ī¼=h$$ \mu =h $$ or H$$ H $$) with the quadratic equalā€order finite elements pair. In our numerical tests, an attractive feature is that the projection false(normalĪ Ī¼āˆ‡pĪ¼,āˆ‡qfalse)$$ \left({\Pi}_{\mu}\nabla {p}_{\mu },\nabla q\right) $$ is computed by using the firstā€order Gauss integration āˆ«K,1āˆ‡pĪ¼Ā·āˆ‡qdx$$ {\int}_{K,1}\nabla {p}_{\mu}\cdotp \nabla qdx $$ over the element K$$ K $$, avoiding the construction of the projection operator normalĪ Ī¼$$ {\Pi}_{\mu } $$ (noting that, āˆ«K,1āˆ‡pĪ¼Ā·āˆ‡qdx$$ {\int}_{K,1}\nabla {p}_{\mu}\cdotp \nabla qdx $$ is equivalent to false(normalĪ Ī¼āˆ‡pĪ¼,āˆ‡qfalse)$$ \left({\Pi}_{\mu}\nabla {p}_{\mu },\nabla q\right) $$ as stated in Zheng and Shang 38 ).…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…In the last decades, based on the idea of Xu and Zhou [1][2][3] for local and parallel finite element discretizations, some new local and parallel algorithms have been proposed for eigenvalue problems [3][4][5], the stationary incompressible magnetohydro dynamicsthe [6], the steady Stokes equations [7][8][9][10], the Stokes/Darcy problem [11], the steady Navier-Stokes equations [12][13][14][15][16][17][18][19][20][21][22][23][24][25] and the stream function form of Navier-Stokes equations [26]. These algorithms have less communication complexity than current standard approaches and allow existing sequential PDE codes to run in a parallel environment without a large investment in recoding.…”
Section: Introductionmentioning
confidence: 99%