共 35 条
A multiscale computational framework for the analysis of graphene involving geometrical and material nonlinearities
被引:18
作者:
Yan, J. W.
[1
,2
]
Zhang, L. W.
[2
,3
]
Liew, K. M.
[2
,4
]
机构:
[1] Jinan Univ, Key Lab Prod Packaging & Logist, Guangdong Higher Educ Inst, Zhuhai, Guangdong, Peoples R China
[2] City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong, Peoples R China
[3] Shanghai Ocean Univ, Coll Informat Sci & Technol, Shanghai 201306, Peoples R China
[4] City Univ Hong Kong, Shenzhen Res Inst Bldg,Shenzhen Hi Tech Ind Pk, Shenzhen, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Atomistic continuum approach;
Graphene;
Bending deflection;
Material nonlinearity;
Geometrical nonlinearity;
WALLED CARBON NANOTUBES;
MECHANICAL-PROPERTIES;
VIBRATION ANALYSIS;
ELASTIC PROPERTIES;
SHEETS;
RESONATORS;
NANOCONES;
D O I:
10.1016/j.cma.2016.07.004
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
An atomistic continuum approach, in which the constitutive model is derived from the lattice structure of graphene, is developed to simulate the mechanical behaviors of graphene. The chirality, of graphene can be reflected by introducing a representative cell and calculated results reveal that the chirality of graphene has little effect on structural parameters and elastic properties. Since the constitutive model has incorporated the information in connection with atomistic structure, the material nonlinearity can be exactly reflected by iteratively updating the constitutive relationship in the present approach. Moreover, geometrical nonlinearity has also been considered under the higher-order gradient continuum theory. The bending deflections of rectangular and circular graphene, with both geometrical and material nonlinearities, having simply supported and clamped constraints are investigated. Based on the constitutive model, the definition of graphene thickness in building the stiffness matrix can be avoided by using the current atomistic continuum approach. Computational results reveal that the atomistic continuum approach can accurately capture geometrical and material nonlinearities of graphene and provide a good prediction of the full atomistic simulation even with a small number of nodes. (C) 2016 Elsevier B.V. All rights reserved.
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页码:208 / 232
页数:25
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