2015
DOI: 10.1155/2015/420649
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Solution of Contact Problems for Nonlinear Gao Beam and Obstacle

Abstract: Contact problem for a large deformed beam with an elastic obstacle is formulated, analyzed, and numerically solved. The beam model is governed by a nonlinear fourth-order differential equation developed by Gao, while the obstacle is considered as the elastic foundation of Winkler’s type in some distance under the beam. The problem is static without a friction and modeled either using Signorini conditions or by means of normal compliance contact conditions. The problems are then reformulated as optimal control … Show more

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Cited by 13 publications
(17 citation statements)
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“…Details on numerical solution of the Gao beam problem based on the control variational method including sensitivity analysis can be found in [18]. We recapitulate briefly its main principles.…”
Section: Numerical Realization and Examplesmentioning
confidence: 99%
See 2 more Smart Citations
“…Details on numerical solution of the Gao beam problem based on the control variational method including sensitivity analysis can be found in [18]. We recapitulate briefly its main principles.…”
Section: Numerical Realization and Examplesmentioning
confidence: 99%
“…Later, it was applied to solve contact problems with the Euler-Bernoulli beam [25], [5]. Recently, CVM was used for solution of contact problems with the Gao beam [18] and [19].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The aim of this paper is to generalize this idea for nonlinear beam and arbitrary boundary conditions. We are also going to extend considerably the results of our previous article [11] but only the convex case will be considered here.…”
Section: Introductionmentioning
confidence: 99%
“…By equation (2) we know that the axial deformation could be relatively large, while the nonconvexity of the total potential shows that this nonlinear beam model can be used for studying both pre and post-buckling problems [4,30]. Recently, the Gao beam model has been generalized for many real-world applications in engineering and sciences [1,2,3,22,23,25,26,28].…”
Section: Nonconvex Problem and Canonical Duality Theorymentioning
confidence: 99%