首页|A two-step stabilized finite element algorithm for the Smagorinsky model

A two-step stabilized finite element algorithm for the Smagorinsky model

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This study considers an efficient two-step stabilized finite element algorithm for the simulation of Smagorinsky model, which involves solving a stabilized nonlinear Smagorinsky problem by the lowest equal-order P 1 - P 1 finite elements and solving a stabilized linear Smagorinsky problem by the quadratic equal-order P 2 - P 2 finite elements. We theoretically and numerically show that the present two-step algorithm can provide an approximate solution with basically the same accuracy as that of solving the stabilized P 2 - P 2 finite element method, and represent a reduction in CPU time.(c) 2022 Elsevier Inc. All rights reserved.

Smagorinsky modelStabilized methodTwo-step algorithmEqual-order finite elementVARIATIONAL MULTISCALE METHODNAVIER-STOKES EQUATIONSEQUAL-ORDER ELEMENTSLADYZHENSKAYA MODELDISCRETIZATIONFLOW

Shang, Yueqiang、Zheng, Bo

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Southwest Univ

2022

Applied mathematics and computation

Applied mathematics and computation

EISCI
ISSN:0096-3003
年,卷(期):2022.422
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