Analysis and convergence of a covolume method for the generalized Stokes problem

被引:102
作者
Chou, SH
机构
关键词
covolume methods; augmented Lagrangian method; nonconforming mixed finite element; network models;
D O I
10.1090/S0025-5718-97-00792-8
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We introduce a covolume or MAC-like method for approximating the generalized Stokes problem. Two grids are needed in the discretization; a triangular one for the continuity equation and a quadrilateral one for the momentum equation. The velocity is approximated using nonconforming piecewise linears and the pressure piecewise constants. Error in the L(2) norm for the pressure and error in a mesh dependent H-1 norm as well as in the L(2) norm for the velocity are shown to be of first order, provided that the exact velocity is in H-2 and the true pressure in H-1. We also introduce the concept of a network model into the discretized linear system so that an efficient pressure-recovering technique can be used to simplify a great deal the computational work involved in the augmented Lagrangian method. Given is a very general decomposition condition under which this technique is applicable to other fluid problems that can be formulated as a saddle-point problem.
引用
收藏
页码:85 / 104
页数:20
相关论文
共 20 条
[1]   AN APPLICATION OF NETWORK THEORY TO THE SOLUTION OF IMPLICIT NAVIER-STOKES DIFFERENCE-EQUATIONS [J].
AMIT, R ;
HALL, CA ;
PORSCHING, TA .
JOURNAL OF COMPUTATIONAL PHYSICS, 1981, 40 (01) :183-201
[2]  
Brenner S. C., 2007, Texts Appl. Math., V15
[3]  
Brezzi F., 2012, MIXED HYBRID FINITE, V15
[4]  
CHOU SH, 1992, P 5 INT C REACT THER, V6, P1607
[5]  
CHOU SH, 1989, NUMER METH PART D E, V5, P1
[6]  
CHOUDHURY S, 1990, INT J NUMER METHODS, V11
[7]  
CROUZEIX M, 1973, REV FR AUTOMAT INFOR, V7, P33
[8]  
Fortin M., 1983, AUGMENTED LAGRANGIAN
[9]   OPTIMAL L-INFINITY-ERROR ESTIMATES FOR NONCONFORMING AND MIXED FINITE-ELEMENT METHODS OF LOWEST ORDER [J].
GASTALDI, L ;
NOCHETTO, R .
NUMERISCHE MATHEMATIK, 1987, 50 (05) :587-611
[10]  
Girault V., 1986, THEORY ALGORITHMS SP