Author
Camano, J
Oyarzua, R
Ruiz-Baier, R
Tierra, G
Journal title
IMA JOURNAL OF NUMERICAL ANALYSIS
DOI
10.1093/imanum/drx039
Issue
3
Volume
38
Last updated
2019-08-17T08:30:19.807+01:00
Page
1452-1484
Abstract
© 2017 The authors. In this article, we analyse an augmented mixed finite element method for the steady Navier.Stokes equations. More precisely, we extend the recent results from Cama.no et al.. (2017, Analysis of an augmented mixed-FEM for the Navier.Stokes problem. Math. Comput., 86, 589.615) to the case of mixed no-slip and traction boundary conditions in different parts of the boundary, and introduce and analyse a new pseudostress.velocity-augmented mixed formulation for the fluid flow problem. The well-posedness analysis is carried out by combining the classical Babuska.Brezzi theory and Banach's fixed-point theorem. A proper adaptation of the arguments exploited in the continuous analysis allows us to state suitable hypotheses on the finite element subspaces ensuring that the associated Galerkin scheme is well defined. For instance, Raviart.Thomas elements of order k ≥ 0 and continuous piecewise polynomials of degree k + 1 for the nonlinear pseudostress tensor and velocity, respectively, yield optimal convergence rates. In addition, we derive a reliable and efficient residual-based a posteriori error estimator for the proposed discretization. The proof of reliability hinges on the global inf.sup condition and the local approximation properties of the Cl¢1ement interpolant, whereas the efficiency of the estimator follows from inverse inequalities and localization via edge.bubble functions. A set of numerical results exemplifies the performance of the augmented method with mixed boundary conditions. The tests also confirm the reliability and efficiency of the estimator, and show the performance of the associated adaptive algorithm.
Symplectic ID
702022
Download URL
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000450010000013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=4fd6f7d59a501f9b8bac2be37914c43e
Publication type
Journal Article
Publication date
July 2018
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