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Functionally graded graphene origami-enabled auxetic metamaterial beams with tunable buckling and postbuckling resistance

journal contribution
posted on 2024-11-02, 21:44 authored by Shaoyu Zhao, Yingyan ZhangYingyan Zhang, Helong Wu, Yihe ZhangYihe Zhang, Jie YangJie Yang
Auxetic metamaterials have emerged as novel advanced materials with unique physical and mechanical properties that conventional materials do not possess. This paper examines the buckling and postbuckling properties of functionally graded (FG) graphene origami (GOri)-enabled auxetic metallic metamaterial (GOEAM) beams. The beam is comprised of multiple GOEAM layers with GOri content varying in layer-wise patterns to realize gradient-changing Poisson's ratio and stiffness coefficient through the beam thickness. The material properties of each GOEAM layer are estimated by the genetic programming (GP)-assisted micromechanical models. The first-order shear deformation theory and von Kármán type nonlinearity are employed to derive the nonlinear governing equations that are numerically solved by the differential quadrature method (DQM). Numerical investigations are carried out with the main focus on the impacts of GOri content, distribution pattern, folding degree, and temperature on the buckling and postbuckling behaviors of FG metamaterial beams. The theoretical results show that GOri is capable of contributing to the formation of auxetic metal metamaterial, leading to the tunable bucking and postbuckling properties of FG beams, which sheds significant insights into the design of high-performance structures.

Funding

Functionally Graded Ultra High Perfomance Concete Structure under Flexure

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.engstruct.2022.114763
  2. 2.
    ISSN - Is published in 01410296

Journal

Engineering Structures

Volume

268

Number

114763

Start page

1

End page

8

Total pages

8

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2022 Elsevier Ltd. All rights reserved.

Former Identifier

2006117797

Esploro creation date

2022-11-19

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