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A NEW APPROACH TO NUMERICAL SOLUTION OF DEFECTIVE BOUNDARY VALUE PROBLEMS IN INCOMPRESSIBLE FLUID DYNAMICS.

Authors :
Formaggia, Luca
Veneziani, Alessandro
Vergara, Christian
Source :
SIAM Journal on Numerical Analysis. 2008, Vol. 46 Issue 6, p2769-2794. 26p. 3 Diagrams, 3 Charts, 4 Graphs.
Publication Year :
2008

Abstract

We consider the incompressible Navier-Stokes equations where on a part of the boundary flow rate and mean pressure boundary conditions are prescribed. There are basically two strategies for solving these defective boundary problems: the variational approach (see J. Heywood, R. Rannacher, and S. Turek, Internat. J. Numer. Methods Fluids, 22 (1996), pp. 325-352) and the augmented formulation (see L. Formaggia, J. F. Gerbeau, F. Nobile, and A. Quarteroni, SIAM J. Numer. Anal., 40 (2002), pp. 376-401, and A. Veneziani and C. Vergara, Internat. J. Numer. Methods Fluids, 47 (2005), pp. 803-816). However, both of these approaches present some drawbacks. For the flow rate problem, the former resorts to nonstandard functional spaces, which are quite difficult to discretize. On the other hand, for the mean pressure problem, it yields exact solutions only in very special cases. The latter is applicable only to the flow rate problem, since for the mean pressure problem it provides unfeasible boundary conditions. In this paper, we propose a new strategy based on a reformulation of the problems at hand in terms of the minimization of an appropriate functional. This approach allows us to treat the two kinds of problems (flow rate and mean pressure) successfully within the same framework, which can be useful in view of a mixed problem where the two conditions are simultaneously prescribed on different artificial boundaries. Moreover, it is more versatile, being prone to be extended to other kinds of defective conditions. We analyze the problems obtained with this approach and propose some algorithms for their numerical solution. Several numerical results are presented supporting the effectiveness of our approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00361429
Volume :
46
Issue :
6
Database :
Academic Search Index
Journal :
SIAM Journal on Numerical Analysis
Publication Type :
Academic Journal
Accession number :
35013843
Full Text :
https://doi.org/10.1137/060672005