AUGMENTED MIXED FINITE ELEMENT METHODS FOR THE STATIONARY STOKES EQUATIONS

被引:46
作者
Figueroa, Leonardo E. [1 ,2 ]
Gatica, Gabriel N. [1 ,3 ]
Marquez, Antonio [4 ]
机构
[1] Univ Concepcion, Dept Ingn Matemat, Concepcion, Chile
[2] Univ Oxford, Comp Lab, Oxford OX1 3QD, England
[3] Univ Concepcion, CI2MA, Concepcion, Chile
[4] Univ Oviedo, Dept Construcc & Ingn Fabricat, Oviedo, Spain
关键词
mixed finite element; Stokes equations; a posteriori error estimator;
D O I
10.1137/080713069
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper we introduce and analyze two augmented mixed finite element methods for a velocity-pressure-stress formulation of the stationary Stokes equations. Our approach, which extends analog results for linear elasticity problems, is based on the introduction of the Galerkin least-squares-type terms arising from the constitutive and equilibrium equations and the Dirichlet boundary condition for the velocity, all of them multiplied by suitable stabilization parameters. We show that these parameters can be chosen so that the resulting augmented variational formulations are defined by strongly coercive bilinear forms, whence the associated Galerkin schemes become wellposed for any choice of finite element subspaces. In particular, we can use continuous piecewise linear velocities, piecewise constant pressures, and Raviart-Thomas elements for the stresses, thus yielding a number of unknowns behaving asymptotically as 5 times the number of triangles of the triangulation. Alternatively, the above factor reduces to 4 when a second augmented variational formulation, involving only the velocity and the stress as unknowns, is employed. Next, we derive a reliable and efficient residual-based a posteriori error estimator for the augmented mixed finite element schemes. Finally, extensive numerical experiments illustrating the performance of the augmented mixed finite element methods, confirming the properties of the a posteriori estimators, and showing the behavior of the associated adaptive algorithms are reported.
引用
收藏
页码:1082 / 1119
页数:38
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