Optimal Convergence for Discrete Variational Inequalities Modelling Signorini Contact in 2D and 3D without Additional Assumptions on the Unknown Contact Set - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue SIAM Journal on Numerical Analysis Année : 2015

Optimal Convergence for Discrete Variational Inequalities Modelling Signorini Contact in 2D and 3D without Additional Assumptions on the Unknown Contact Set

Résumé

The basic H 1-finite element error estimate of order h with only H 2-regularity on the solution has not been yet established for the simplest 2D Signorini problem approximated by a discrete variational inequality (or the equivalent mixed method) and linear finite elements. To obtain an optimal error bound in this basic case and also when considering more general cases (three-dimensional problem, quadratic finite elements.. .), additional assumptions on the exact solution (in particular on the unknown contact set, see [5, 20, 35]) had to be used. In this paper we consider finite element approximations of the 2D and 3D Signorini problems with linear and quadratic finite elements. In the analysis, we remove all the additional assumptions and we prove optimal H 1-error estimates with the only standard Sobolev regularity. The main tools are local L 1 and L 2-estimates of the normal constraints and the normal displacements on the candidate contact area and error bounds depending both on the contact and on the non-contact set.
Fichier principal
Vignette du fichier
2D3D_v130115.pdf (337.38 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01969534 , version 1 (04-01-2019)

Identifiants

Citer

Guillaume Drouet, Patrick Hild. Optimal Convergence for Discrete Variational Inequalities Modelling Signorini Contact in 2D and 3D without Additional Assumptions on the Unknown Contact Set. SIAM Journal on Numerical Analysis, 2015, 53 (3), pp.1488-1507. ⟨10.1137/140980697⟩. ⟨hal-01969534⟩
33 Consultations
126 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More