Anisotropic “goal-oriented” mesh adaptivity for elliptic problems

J Carpio, JL Prieto, R Bermejo - SIAM Journal on Scientific Computing, 2013 - SIAM
J Carpio, JL Prieto, R Bermejo
SIAM Journal on Scientific Computing, 2013SIAM
We propose in this paper an anisotropic, adaptive, finite element algorithm for steady, linear
advection-diffusion-reaction problems with strong anisotropic features. The error analysis is
based on the dual weighted residual methodology, allowing us to perform “goal-oriented”
adaptation of a certain functional J(u) of the solution and derive an “optimal” metric tensor for
local mesh adaptation with linear and quadratic finite elements. As a novelty, and to
evaluate the weights of the error estimator on unstructured meshes composed of anisotropic …
We propose in this paper an anisotropic, adaptive, finite element algorithm for steady, linear advection-diffusion-reaction problems with strong anisotropic features. The error analysis is based on the dual weighted residual methodology, allowing us to perform “goal-oriented” adaptation of a certain functional of the solution and derive an “optimal” metric tensor for local mesh adaptation with linear and quadratic finite elements. As a novelty, and to evaluate the weights of the error estimator on unstructured meshes composed of anisotropic triangles, we make use of a patchwise, higher-order interpolation recovery readily extendable to finite elements of arbitrary order. We carry out a number of numerical experiments in two dimensions so as to prove the capabilities of the goal-oriented adaptive method. We compute the convergence rate and the effectivity index for a series of output functionals of the solution. The results show the good performance of the algorithm with linear as well as quadratic finite elements.
Society for Industrial and Applied Mathematics
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