Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2273
Title: Atomic-scale finite element modelling of mechanical behaviour of graphene nanoribbons
Authors: Damasceno, D. A
Mesquita, E
Rajapakse, R. K. N. D
Pavanello, R
Keywords: Atomistic simulation
Elastic modulus
Graphene
Nanoribbons
Tensile strength
Issue Date: Mar-2019
Publisher: Springer Netherlands
Citation: Damasceno, D.A., Mesquita, E., Rajapakse, R.K.N.D. et al. Atomic-scale finite element modelling of mechanical behaviour of graphene nanoribbons. Int J Mech Mater Des 15, 145–157 (2019). https://doi.org/10.1007/s10999-018-9403-z
Series/Report no.: International Journal Of Mechanics And Materials In Design;Vol 15 Issue 1 Pages 145-157
Abstract: Experimental characterization of Graphene NanoRibbons (GNRs) is still an expensive task and computational simulations are therefore seen as a practical option to study the properties and mechanical response of GNRs. Design of GNR elements in various nanotechnology devices can be approached through molecular dynamics simulations. This study demonstrates that the atomic-scale finite element method (AFEM) based on the second generation REBO potential is an efficient and accurate alternative to the molecular dynamics simulation of GNRs. Special atomic finite elements are proposed to model graphene edges. Extensive comparisons are presented with MD solutions to establish the accuracy of AFEM. It is also shown that the Tersoff potential is not accurate for GNR modeling. The study demonstrates the influence of chirality and size on design parameters such as tensile strength and stiffness. Graphene is stronger and stiffer in the zigzag direction compared to the armchair direction. Armchair GNRs shows a minor dependence of tensile strength and elastic modulus on size whereas in the case of zigzag GNRs both modulus and strength show a significant size dependency. The size-dependency trend noted in the present study is different from the previously reported MD solutions for GNRs but qualitatively agrees with experimental results. Based on the present study, AFEM can be considered a highly efficient computational tool for analysis and design of GNRs.
URI: http://rda.sliit.lk/handle/123456789/2273
Appears in Collections:Department of Civil Engineering-Scopes
Research Papers - Department of Civil Engineering
Research Papers - SLIIT Staff Publications

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