A posteriori error estimates for lowest-order mixed finite element discretizations of convection-diffusion-reaction equations

M Vohralík - SIAM Journal on Numerical Analysis, 2007 - SIAM
SIAM Journal on Numerical Analysis, 2007SIAM
We establish residual a posteriori error estimates for lowest-order Raviart–Thomas mixed
finite element discretizations of convection-diffusion-reaction equations on simplicial
meshes in two or three space dimensions. The upwind-mixed scheme is considered as well,
and the emphasis is put on the presence of an inhomogeneous and anisotropic diffusion-
dispersion tensor and on a possible convection dominance. Global upper bounds for the
approximation error in the energy norm are derived, where in particular all constants are …
We establish residual a posteriori error estimates for lowest-order Raviart–Thomas mixed finite element discretizations of convection-diffusion-reaction equations on simplicial meshes in two or three space dimensions. The upwind-mixed scheme is considered as well, and the emphasis is put on the presence of an inhomogeneous and anisotropic diffusion-dispersion tensor and on a possible convection dominance. Global upper bounds for the approximation error in the energy norm are derived, where in particular all constants are evaluated explicitly, so that the estimators are fully computable. Our estimators give local lower bounds for the error as well, and they hold from the cases where convection or reaction are not present to convection- or reaction-dominated problems; we prove that their local efficiency depends only on local variations in the coefficients and on the local Péclet number. Moreover, the developed general framework allows for asymptotic exactness and full robustness with respect to inhomogeneities and anisotropies. The main idea of the proof is a construction of a locally postprocessed approximate solution using the mean value and the flux in each element, known in the mixed finite element method, and a subsequent use of the abstract framework arising from the primal weak formulation of the continuous problem. Numerical experiments confirm the guaranteed upper bound and excellent efficiency and robustness of the derived estimators.
Society for Industrial and Applied Mathematics
以上显示的是最相近的搜索结果。 查看全部搜索结果