Incompressible Stokes equations;
Conforming virtual element method;
Error estimator;
A posteriori error analysis;
Mesh adaptivity;
FORMULATION;
D O I:
10.1016/j.matcom.2024.01.022
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
We investigate an adaptive mesh strategy for the conforming virtual element method (VEM) of the Stokes equations proposed in Manzini and Mazzia (2022). The VEM generalizes the finite element approach to polygonal and polyehedral meshes in the framework of Galerkin approximation. The scheme of Manzini and Mazzia (2022) is inf-sup stable, converges optimally in the L2 and energy norm for all polynomial orders k >= 1, and the Stokes velocity is weakly divergence -free at the machine precision level. Our adaptive mesh strategy is based on a suitable residual -based a posteriori indicator. A posteriori analysis shows that such an indicator is theoretically efficient and reliable. Our numerical experiments show that it can be an efficient tool for solving scientific and engineering problems by applying it to a set of representative situations, including the case of a weakly singular solution as that of the "L-shape"domain.
机构:
Jiangxi Sci & Technol Normal Univ, Sch Math Sci, Nanchang, Jiangxi, Peoples R ChinaJiangxi Sci & Technol Normal Univ, Sch Math Sci, Nanchang, Jiangxi, Peoples R China
机构:
Department of Mathematics, Capital Normal University, Beijing
ICCES, Institute of Atmospheric Physics, Chinese Academy of Sciences, BeijingDepartment of Mathematics, Capital Normal University, Beijing
Zhen-dong L.
Jiang Z.
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机构:
ICCES, Institute of Atmospheric Physics, Chinese Academy of Sciences, BeijingDepartment of Mathematics, Capital Normal University, Beijing
机构:
Los Alamos Natl Lab, Div Theoret, T5 Grp, MS B284, Los Alamos, NM 87545 USAUniv Leicester, Dept Math, Univ Rd, Leicester LE1 7RH, Leics, England
Gyrya, Vitaliy
Manzini, Gianmarco
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h-index: 0
机构:
Los Alamos Natl Lab, Div Theoret, T5 Grp, MS B284, Los Alamos, NM 87545 USA
CNR, IMATI, Via Ferrata 1, I-27100 Pavia, ItalyUniv Leicester, Dept Math, Univ Rd, Leicester LE1 7RH, Leics, England