Vibrational characteristics of functionally graded graphene origami-enabled auxetic metamaterial beams based on machine learning assisted models
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{ZHAO:2022:ast,
-
author = "Shaoyu Zhao and Yingyan Zhang and Yihe Zhang and
Jie Yang and Sritawat Kitipornchai",
-
title = "Vibrational characteristics of functionally graded
graphene origami-enabled auxetic metamaterial beams
based on machine learning assisted models",
-
journal = "Aerospace Science and Technology",
-
volume = "130",
-
pages = "107906",
-
year = "2022",
-
ISSN = "1270-9638",
-
DOI = "doi:10.1016/j.ast.2022.107906",
-
URL = "https://www.sciencedirect.com/science/article/pii/S1270963822005806",
-
keywords = "genetic algorithms, genetic programming, Graphene
origami, Metal metamaterial, Functionally graded beam,
Vibrational characteristics, GP-assisted
micromechanical model",
-
abstract = "This paper studies the free vibration behavior and
dynamic responses of functionally graded (FG) beams
made of novel graphene origami (GOri)-enabled auxetic
metal metamaterials (GOEAMs) under an impulsive load
within the framework of the first-order shear
deformation beam theory. The auxetic property of the
beam is effectively controlled by graphene content and
GOri folding degree that are graded across the
thickness direction of the beams in a layer-wise manner
such that Poisson's ratio and other material properties
are position-dependent and are estimated by the genetic
programming (GP)-assisted micromechanical models. The
governing equations are derived by using Lagrange
equation approach together with Ritz method.
Newmark-beta method is employed to solve the governing
equations for obtaining dynamic responses of the beams
subjected to three different impulsive loads. A
comprehensive parametric study is performed to examine
the effects of graphene content, GOri folding degree
and distribution patterns as well as temperature on the
natural frequencies and dynamic responses of the beams.
Numerical results show that high tunability in
structural vibration characteristics can be achieved
via GOri, which offers important insight into the
application of FG-GOEAM beams in aerospace engineering
structure for significantly improved dynamic structural
performance",
- }
Genetic Programming entries for
Shaoyu Zhao
Yingyan Zhang
Yihe Zhang
Jie Yang
Sritawat Kitipornchai
Citations