2013
DOI: 10.2478/amcs-2013-0020
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An analytical and numerical approach to a bilateral contact problem with nonmonotone friction

Abstract: We consider a mathematical model which describes the contact between a linearly elastic body and an obstacle, the so-called foundation. The process is static and the contact is bilateral, i.e., there is no loss of contact. The friction is modeled with a nonmotonone law. The purpose of this work is to provide an error estimate for the Galerkin method as well as to present and compare two numerical methods for solving the resulting nonsmooth and nonconvex frictional contact problem. The first approach is based o… Show more

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Cited by 43 publications
(42 citation statements)
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“…For the recent results on numerical methods for static variational inequalities see for example [25], for hemivariational ones see [2,10] and for variational-hemivariational ones see [3,9,13]. Results for evolution variational inequalities are presented in [12,26], while for hemivariational ones in [13,14,27].…”
Section: Introductionmentioning
confidence: 98%
“…For the recent results on numerical methods for static variational inequalities see for example [25], for hemivariational ones see [2,10] and for variational-hemivariational ones see [3,9,13]. Results for evolution variational inequalities are presented in [12,26], while for hemivariational ones in [13,14,27].…”
Section: Introductionmentioning
confidence: 98%
“…In this paper, we focus on the class of matrices generated by the adaptive finite element method [7,8]. The finite element method is commonly used to solve many engineering problems [1,2,18,28].…”
Section: Introductionmentioning
confidence: 99%
“…We expect that the proof of error estimates can be done using the generalization of methods from [1]. Since there are no time derivatives present in the considered problem and the time stepping scheme is implicit, we expect that the convergence holds without any additional relations between the time step τ and space step h.…”
Section: Problem 14 Findmentioning
confidence: 99%