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Nonlinear bending of polymer nanocomposite beams reinforced with non-uniformly distributed graphene platelets (GPLs)

journal contribution
posted on 2024-11-02, 03:43 authored by Chuang Feng, Sritawat Kitipornchai, Jie YangJie Yang
This paper studies the nonlinear bending behavior of a novel class of multi-layer polymer nanocomposite beams reinforced with graphene platelets (GPLs) that are non-uniformly distributed along the thickness direction. Nonlinear governing equation is established based on Timoshenko beam theory and von Kármán nonlinear strain-displacement relationship. The effective Young's modulus of the nanocomposites is determined by modified Halpin-Tsai micromechanics model. Ritz method is employed to reduce the governing differential equation into an algebraic system from which the static bending solutions can be obtained. A comprehensive parametric study is then conducted, with a particular focus on the influences of distribution pattern, weight fraction, geometry and size of GPLs together with the total number of layers on the linear and nonlinear bending performances of the beams. Numerical results demonstrate the significantly improved bending performance through the addition of a very small amount of GPLs into polymer matrix as reinforcements. It is found that dispersing more GPLs that are in square shape with fewer single graphene layers near the top and bottom surfaces of the beam is the most effective way to reduce bending deflections. Beams with a higher weight fraction of GPLs that are symmetrically distributed in such a way are also less sensitive to the nonlinear deformation.

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.compositesb.2016.11.024
  2. 2.
    ISSN - Is published in 13598368

Journal

Composites Part B: Engineering

Volume

110

Start page

132

End page

140

Total pages

9

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2016 Elsevier Ltd

Former Identifier

2006071891

Esploro creation date

2020-06-22

Fedora creation date

2017-03-29

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