## a b s t r a c t In this paper, we propose a posteriori error estimators for certain quantities of interest for a first-order least-squares finite element method. In particular, we propose an a posteriori error estimator for when one is interested in Ο -Ο h 0 where Ο = -Aβu. Our a posteriori err
Local error estimation and adaptive remeshing scheme for least-squares mixed finite elements
β Scribed by G.F. Carey; A.I. Pehlivanov
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 620 KB
- Volume
- 150
- Category
- Article
- ISSN
- 0045-7825
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β¦ Synopsis
Following the theme of our previous work on least-squares finite elements [ 10,281, we describe an adaptive remeshing scheme using local residuals as the error indicator. This choice of indicator is natural (and exact at the element level!) in the norm associated with the corresponding least-squares statement. The remeshing strategy applied here involves mesh enrichment by point insertion in a Delaunay scheme. Several refined grids and error plots are included for a representative model elliptic boundary-value problem.
π SIMILAR VOLUMES
## Abstract A leastβsquares mixed finite element method for linear elasticity, based on a stressβdisplacement formulation, is investigated in terms of computational efficiency. For the stress approximation quadratic RaviartβThomas elements are used and these are coupled with the quadratic nonconfor
Methods for a posteriori error estimation for finite element solutions are well established and widely used in engineering practice for linear boundary value problems. In contrast here we are concerned with finite elasticity and error estimation and adaptivity in this context. In the paper a brief o