Tunable nonlinear bending behaviors of functionally graded graphene origami enabled auxetic metamaterial beams
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{ZHAO:2022:compstruct,
-
author = "Shaoyu Zhao and Yingyan Zhang and Helong Wu and
Yihe Zhang and Jie Yang and Sritawat Kitipornchai",
-
title = "Tunable nonlinear bending behaviors of functionally
graded graphene origami enabled auxetic metamaterial
beams",
-
journal = "Composite Structures",
-
volume = "301",
-
pages = "116222",
-
year = "2022",
-
ISSN = "0263-8223",
-
DOI = "doi:10.1016/j.compstruct.2022.116222",
-
URL = "https://www.sciencedirect.com/science/article/pii/S0263822322009540",
-
keywords = "genetic algorithms, genetic programming, Functionally
graded beam, Negative Poisson's ratio, Mechanical
metamaterial, Nonlinear bending, GP-assisted
micromechanical model",
-
abstract = "This paper investigates tunable nonlinear bending
behaviors of functionally graded composite beams made
of graphene origami (GOri)-enabled auxetic metal
metamaterials (GOEAMs) within the theoretical framework
of the first-order shear deformation theory and von
Karman type nonlinearity. The beam is comprised of
multiple GOEAM layers with GOri content and folding
degree being variables to effectively control its
auxetic property that is graded from layer to layer
across its thickness direction. Our developed genetic
programming (GP)-assisted micromechanical models are
used to estimate the position- and
temperature-dependent Poisson's ratio and other
material properties of each GOEAM layer in the beam.
The nonlinear governing equations of the FG-GOEAM beam
are derived by the principle of virtual work and
numerically solved by the differential quadrature (DQ)
method. A detailed parametric investigation is
conducted to examine the effects of GOri content,
folding degree, and temperature on the tunability of
the nonlinear bending deflection and normal stress of
the FG metamaterial beam. Numerical results offer
significant insights into the design of FG-GOEAM beam
structures with enhanced bending performances",
- }
Genetic Programming entries for
Shaoyu Zhao
Yingyan Zhang
Helong Wu
Yihe Zhang
Jie Yang
Sritawat Kitipornchai
Citations