A feed-back approach to error control in finite element methods: application to linear elasticity

Abstract Recently a refined approach to error control in finite element (FE) discretisations has been proposed, Becker and Rannacher (1995b), (1996), which uses weighted a posteriori error estimates derived via duality arguments. The conventional strategies for mesh refinement in FE models of problems from elasticity theory are mostly based on a posteriori error estimates in the energy norm. Such estimates reflect the approximation properties of the finite element ansatz by local interpolation constants while the stability properties of the continuous model enter through a global coercivity constant. However, meshes generated on the basis of such global error estimates are not appropriate in cases where the domain consists of very heterogeneous materials and for the computation of local quantities, e.g., point values or contour integrals. This deficiency is cured by using certain local norms of the dual solution directly as weights multiplying the local residuals of the computed solution. In general, these weights have to be evaluated numerically in the course of the refinement process, yielding almost optimal meshes for various kinds of error measures. This feed-back approach is developed here for primal as well as mixed FE discretisations of the fundamental problem in linear elasticity.

[1]  J. Lions,et al.  Inequalities in mechanics and physics , 1976 .

[2]  W. Rheinboldt,et al.  Error Estimates for Adaptive Finite Element Computations , 1978 .

[3]  Claes Johnson,et al.  Some equilibrium finite element methods for two-dimensional elasticity problems , 1978 .

[4]  R. Rannacher,et al.  On finite element approximation of general boundary value problems in nonlinear elasticity , 1980 .

[5]  J. Nédélec Mixed finite elements in ℝ3 , 1980 .

[6]  J. Douglas,et al.  PEERS: A new mixed finite element for plane elasticity , 1984 .

[7]  T. Hughes,et al.  A new finite element formulation for computational fluid dynamics: V. Circumventing the Babuscka-Brezzi condition: A stable Petrov-Galerkin formulation of , 1986 .

[8]  O. C. Zienkiewicz,et al.  A simple error estimator and adaptive procedure for practical engineerng analysis , 1987 .

[9]  D. Arnold,et al.  A new mixed formulation for elasticity , 1988 .

[10]  Nils-Erik Wiberg,et al.  Adaptive finite elements , 1988 .

[11]  L. Plank,et al.  Accuracy and adaptivity in the numerical analysis of thin-walled structures , 1990 .

[12]  L. Franca,et al.  Error analysis of some Galerkin least squares methods for the elasticity equations , 1991 .

[13]  Kenneth Eriksson,et al.  Adaptive finite element methods for parabolic problems. I.: a linear model problem , 1991 .

[14]  L. Wahlbin,et al.  Local behavior in finite element methods , 1991 .

[15]  Michel Fortin,et al.  Mixed and Hybrid Finite Element Methods , 2011, Springer Series in Computational Mathematics.

[16]  L. R. Scott,et al.  The Mathematical Theory of Finite Element Methods , 1994 .

[17]  Rüdiger Verfürth,et al.  A posteriori error estimation and adaptive mesh-refinement techniques , 1994 .

[18]  R. Rannacher,et al.  Finite Element Solution of the Incompressible Navier-Stokes Equations on Anisotropically Refined Meshes , 1995 .

[19]  D. Braess,et al.  Error indicators for mixed finite elements in 2-dimensional linear elasticity , 1995 .

[20]  Guido Kanschat,et al.  Parallel and adaptive Galerkin methods for radiative transfer problems , 1996 .

[21]  Rolf Rannacher,et al.  A Feed-Back Approach to Error Control in Finite Element Methods: Basic Analysis and Examples , 1996 .

[22]  Dietrich Braess,et al.  A Posteriori Error Estimators for the Raviart--Thomas Element , 1996 .