Vibrational characteristics of functionally graded graphene origami- enabled auxetic metamaterial beams with variable thickness in fluid
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- @Article{MURARI:2023:engstruct,
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author = "Bill Murari and Shaoyu Zhao and Yihe Zhang and
Liaoliang Ke and Jie Yang",
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title = "Vibrational characteristics of functionally graded
graphene origami- enabled auxetic metamaterial beams
with variable thickness in fluid",
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journal = "Engineering Structures",
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volume = "277",
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pages = "115440",
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year = "2023",
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ISSN = "0141-0296",
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DOI = "doi:10.1016/j.engstruct.2022.115440",
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URL = "https://www.sciencedirect.com/science/article/pii/S0141029622015164",
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keywords = "genetic algorithms, genetic programming, Free
vibration, Graphene origami, Functionally graded
metamaterial beam, Fluid, Differential quadrature
method",
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abstract = "Within the framework of Timoshenko beam theory, this
paper examines the effect of negative Poisson's ratio
(NPR) on the free vibration characteristics of
functionally graded (FG) graphene origami
(GOri)-enabled auxetic metamaterial (GOEAM) beams with
variable thickness submerged in fluid. Poisson's ratio
and other elastic properties of the beam are graded in
a layer-wise manner along the thickness direction and
are predicted by genetic programming (GP)-assisted
micromechanics models. With the hydrodynamic pressure
effect on the beam being modelled as added mass, the
equations of motion are derived from Hamilton's
principle then discretised and solved using the
differential quadrature (DQ) method in conjunction with
an iterative process to determine its natural
frequencies and mode shapes. The effects of GOri
folding degree, metamaterial distribution, graphene
distribution pattern and content, fluid temperature and
density on the free vibration behaviour of FG-GOEAM
beams are discussed in detail. It is found that the
FG-GOEAM beam outperforms its pristine metallic
counterpart in terms of vibration performance",
- }
Genetic Programming entries for
Bill Murari
Shaoyu Zhao
Yihe Zhang
Liaoliang Ke
Jie Yang
Citations