Issue |
ESAIM: M2AN
Volume 57, Number 3, May-June 2023
|
|
---|---|---|
Page(s) | 1731 - 1746 | |
DOI | https://doi.org/10.1051/m2an/2023034 | |
Published online | 26 May 2023 |
A Nitsche method for the elastoplastic torsion problem
1
Université de Bourgogne, Institut de Mathématiques de Bourgogne, 21078 Dijon, France
2
Center for Mathematical Modeling and Department of Mathematical Engineering, University of Chile and IRL 2807 – CNRS, Santiago, Chile
3
Departamento de Ingeniería Matemática, CI 2MA, Universidad de Concepción, Casilla 160-C, Concepción, Chile
4
Institut de Mathématiques de Toulouse – UMR CNRS 5219, Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse Cedex 9, France
5
Department of Mathematics and Systems Analysis, Aalto University, Otakaari 1 F, Espoo, Finland
* Corresponding author: franz.chouly@u-bourgogne.fr
Received:
9
December
2022
Accepted:
20
April
2023
This study is concerned with the elastoplastic torsion problem, in dimension n ≥ 1, and in a polytopal, convex or not, domain. In the physically relevant case where the source term is a constant, this problem can be reformulated using the distance function to the boundary. We combine the aforementioned reformulation with a Nitsche-type discretization as in Burman et al. [Comput. Methods Appl. Mech. Eng. 313 (2017) 362–374]. This has two advantages: (1) it leads to optimal error bounds in the natural norm, even for nonconvex domains; (2) it is easy to implement within most of finite element libraries. We establish the well-posedness and convergence properties of the method, and illustrate its behavior with numerical experiments.
Mathematics Subject Classification: 65N15 / 65N30 / 74C05
Key words: Variational inequalities / elastoplastic torsion problem / finite elements / Nitsche / error estimates
© The authors. Published by EDP Sciences, SMAI 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.