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Nonlinear static and dynamic responses of graphene platelets reinforced composite beam with dielectric permittivity

journal contribution
posted on 2024-11-02, 10:52 authored by Yu Wang, Xinwei Wang, Zhan Zhao, Carlos Santiuste Romero, Youheng Dong, Jie YangJie Yang
Nonlinear bending and forced vibration of graphene platelets (GPLs) reinforced composite (GPLRC) beam with dielectric permittivity are investigated. The tensile modulus and dielectric permittivity as required for structural analysis are obtained by using effective-medium theory (EMT) while Poisson's ratio and mass density are evaluated by rule of mixture. Based on Timoshenko beam theory, governing equations for nonlinear bending and forced vibration of the GPLRC beam are established and numerically solved through differential quadrature method (DQM). The dependency of the structural behaviours of the GPLRC beams on the attributes of GPL, applied external loading and electrical field are comprehensively studied. The analysis demonstrates that the performances of the GPLRC beam can be designed and actively tuned through adjusting several parameters. The bending and vibration behaviours of the beam are sensitive to smaller beam thickness, larger GPL aspect ratio and electrical voltage. Snap-through behaviour is observed for the bending and vibration of the composite beam within the involved AC frequency range. Reasons underlying the above observations are analysed and discussed to increasingly understand the structural behaviours of graphene reinforced composite structures with dielectric property.

Funding

Electro-mechanical behaviours of carbon nanotube composite structures

Australian Research Council

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Buckling of Functionally Graded Multilayer Graphene Nanocomposites

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.apm.2019.02.025
  2. 2.
    ISSN - Is published in 0307904X

Journal

Applied Mathematical Modelling

Volume

71

Start page

298

End page

315

Total pages

18

Publisher

Elsevier

Place published

United States

Language

English

Copyright

© 2019 Elsevier

Former Identifier

2006091751

Esploro creation date

2020-06-22

Fedora creation date

2019-07-08

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