Journal article
Numerical analysis of an evolutionary variational–hemivariational inequality with application in contact mechanics
Computer methods in applied mechanics and engineering, Vol.318, pp.882-897
05/01/2017
DOI: 10.1016/j.cma.2017.02.003
Abstract
Variational–hemivariational inequalities are useful in applications in science and engineering. This paper is devoted to numerical analysis for an evolutionary variational–hemivariational inequality. We introduce a fully discrete scheme for the inequality, using a finite element approach for the spatial approximation and a backward finite difference to approximate the time derivative. We present a Céa type inequality which is the starting point for error estimation. Then we apply the results in the numerical solution of a problem arising in contact mechanics, and derive an optimal order error estimate when the linear elements are used. Finally, we report numerical simulation results on solving a model contact problem, and provide numerical evidence on the theoretically predicted optimal order error estimate.
•First paper on numerical analysis of evolutionary variational–hemivariational inequality problems.•A Céa type inequality for fully discrete numerical solutions.•An optimal order error estimate for linear element solutions.•Numerical evidence on the theoretically predicted optimal order error estimate.
Details
- Title: Subtitle
- Numerical analysis of an evolutionary variational–hemivariational inequality with application in contact mechanics
- Creators
- Mikaël Barboteu - Université de PerpignanKrzysztof Bartosz - Jagiellonian UniversityWeimin Han - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Computer methods in applied mechanics and engineering, Vol.318, pp.882-897
- DOI
- 10.1016/j.cma.2017.02.003
- ISSN
- 0045-7825
- eISSN
- 1879-2138
- Publisher
- Elsevier B.V
- Grant note
- DEC-2012/06/A/ST1/00262 / National Science Center of Poland DMS-1521684 / NSF
- Language
- English
- Date published
- 05/01/2017
- Academic Unit
- Mathematics
- Record Identifier
- 9984241045802771
Metrics
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