Abstract
The purpose of the paper is to analyse the effect of hp mesh adaptation when discretized versions of finite element mixed formulations are applied to elliptic problems with singular solutions. Two stable configurations of approximation spaces, based on affine triangular and quadrilateral meshes, are considered for primal and dual (flux) variables. When computing sufficiently smooth solutions using regular meshes, the first configuration gives optimal convergence rates of identical approximation orders for both variables, as well as for the divergence of the flux. For the second configuration, higher convergence rates are obtained for the primal variable. Furthermore, after static condensation is applied, the condensed systems to be solved have the same dimension in both configuration cases, which is proportional to their border flux dimensions. A test problem with a steep interior layer is simulated, and the results demonstrate exponential rates of convergence. Comparison of the results obtained with H 1-conforming formulation are also presented.
Keywords
- Approximation Space
- Mixed Finite Element Formulation
- Optimal Convergence Rate
- Quadrilateral Mesh
- Static Condensation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Acknowledgements
R. B. Devloo and S. M. Gomes thankfully acknowledge financial support from CNPq – the Brazilian Research Council. The work of A. M. Farias is supported by a pos-doctoral grant by CAPES Foundation, within the Ministry of Education in Brazil. The authors thank T. L. D. Forti for given the adaptive hp meshes, and to P. C. A. Lucci for helping with the graphics.
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Devloo, P.R.B., Farias, A.M., Gomes, S.M., de Siqueira, D. (2016). Two-Dimensional H(div)-Conforming Finite Element Spaces with hp-Adaptivity. In: Karasözen, B., Manguoğlu, M., Tezer-Sezgin, M., Göktepe, S., Uğur, Ö. (eds) Numerical Mathematics and Advanced Applications ENUMATH 2015. Lecture Notes in Computational Science and Engineering, vol 112. Springer, Cham. https://doi.org/10.1007/978-3-319-39929-4_9
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DOI: https://doi.org/10.1007/978-3-319-39929-4_9
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