Static and dynamic instability of functionally graded graphene origami-enabled auxetic metamaterial beams with variable thickness in fluid

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@Article{MURARI:2023:oceaneng,

• author = "Bill Murari and Shaoyu Zhao and Yihe Zhang and Jie Yang",
• title = "Static and dynamic instability of functionally graded graphene origami-enabled auxetic metamaterial beams with variable thickness in fluid",
• journal = "Ocean Engineering",
• volume = "280",
• pages = "114859",
• year = "2023",
• ISSN = "0029-8018",
• DOI = "doi:10.1016/j.oceaneng.2023.114859",
• URL = "https://www.sciencedirect.com/science/article/pii/S002980182301243X",
• keywords = "genetic algorithms, genetic programming, Elastic buckling, Dynamic instability, Graphene origami, Functionally graded metamaterial beam, Fluid, Auxetic metamaterial",
• abstract = "Functionally graded (FG) graphene origami (GOri)-enabled auxetic metamaterial (GOEAM) structures have shown great potential for various engineering applications due to their exceptional mechanical and physical properties such as high strength-to-weight ratio, tuneable stiffness and strength, and negative Poisson's ratio (NPR). This paper aims to investigate the buckling and dynamic instability behaviours of FG-GOEAM beams with variable thickness immersed in a fluid, with a particular focus on the influence of NPR. The material properties such as Young's modulus and Poisson's ratio of the GOEAM are determined by using a genetic programming (GP)-based micromechanics model. Within the framework of the first-order shear deformation theory and by employing Hamilton's principle and modelling the fluid effect as added mass, the governing equations of motion are established and are then discretised by means of differential quadrature (DQ) method to obtain a linear system of Mathieu-Hill equations from which the principal instability regions of the FG-GOEAM beam are determined by Bolotin's method. A comprehensive parametric study is conducted to reveal the effects of GOri's folding degree, distribution, weight fraction, as well as fluid density and beam dimensions on the static and dynamic instability behaviours of the FG-GOEAM beam immersed in fluid. Numerical results show that the FG-GOEAM beam with NPR considerably outperforms its pristine metallic counterpart in terms of resistance against static buckling and dynamic stability",

}

Genetic Programming entries for Bill Murari Shaoyu Zhao Yihe Zhang Jie Yang

Citations