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Numerical analysis of an evolutionary variational–hemivariational inequality with application in contact mechanics
- Source :
- Computer Methods in Applied Mechanics and Engineering, Computer Methods in Applied Mechanics and Engineering, Elsevier, 2017, 318, pp.882-897. ⟨10.1016/j.cma.2017.02.003⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
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 Cea 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.
- Subjects :
- Computer simulation
Mechanical Engineering
Numerical analysis
Mathematical analysis
Computational Mechanics
Finite difference
General Physics and Astronomy
010103 numerical & computational mathematics
01 natural sciences
Finite element method
Computer Science Applications
010101 applied mathematics
Contact mechanics
Mechanics of Materials
Time derivative
Order (group theory)
Point (geometry)
0101 mathematics
[MATH]Mathematics [math]
ComputingMilieux_MISCELLANEOUS
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 00457825
- Database :
- OpenAIRE
- Journal :
- Computer Methods in Applied Mechanics and Engineering, Computer Methods in Applied Mechanics and Engineering, Elsevier, 2017, 318, pp.882-897. ⟨10.1016/j.cma.2017.02.003⟩
- Accession number :
- edsair.doi.dedup.....54b9d58000bf198c77536be4a55885b2
- Full Text :
- https://doi.org/10.1016/j.cma.2017.02.003⟩