Meshless analysis of shear deformable shells: boundary and interface constraints

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Original languageEnglish
Pages (from-to)679-700
Number of pages22
JournalComputational mechanics
Volume57
Issue number4
Early online date29 Jan 2016
Publication statusPublished - Apr 2016

Abstract

Meshless methods provide a highly continuous approximation field, convenient for thin structures like shells. Nevertheless, the lack of Kronecker Delta property makes the formulation of essential boundary conditions not straightforward, as the trial and test fields cannot be tailored to boundary values. Similar problem arise when different approximation regions must be joined, in a multi-region problem, such as kinks, folds or joints. This work presents three approaches to impose both kinematic conditions: the well-known Lagrange multiplier method, used since the beginning of the element free Galerkin method; a pure penalty approach; and the recently rediscovered alternative of Nitsche’s method. We use the discretization technique for thick Reissner–Mindlin shells and adapt the weak form as to separate displacement and rotational degrees of freedom and obtain suitable and separate stabilization parameters. This approach enables the modeling of discontinuous shells and local refinement on multi-region problems.

Keywords

    Element-free Galerkin, Interfaces, Multi-region Problems, Nitsche’s Method, Thick shells

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Cite this

Meshless analysis of shear deformable shells: boundary and interface constraints. / Costa, Jorge C.; Pimenta, Paulo M.; Wriggers, Peter.
In: Computational mechanics, Vol. 57, No. 4, 04.2016, p. 679-700.

Research output: Contribution to journalArticleResearchpeer review

Costa JC, Pimenta PM, Wriggers P. Meshless analysis of shear deformable shells: boundary and interface constraints. Computational mechanics. 2016 Apr;57(4):679-700. Epub 2016 Jan 29. doi: 10.1007/s00466-015-1253-z
Costa, Jorge C. ; Pimenta, Paulo M. ; Wriggers, Peter. / Meshless analysis of shear deformable shells : boundary and interface constraints. In: Computational mechanics. 2016 ; Vol. 57, No. 4. pp. 679-700.
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