Issue |
Eur. Phys. J. Appl. Phys.
Volume 70, Number 1, April 2015
|
|
---|---|---|
Article Number | 10401 | |
Number of page(s) | 11 | |
Section | Nanomaterials and Nanotechnologies | |
DOI | https://doi.org/10.1051/epjap/2015140395 | |
Published online | 21 April 2015 |
https://doi.org/10.1051/epjap/2015140395
An efficient molecular mechanics model for the torsional buckling analysis of multi-walled silicon carbide nanotubes
Department of Mechanical Engineering, University of Guilan, P.O. Box 3756, Rasht, Iran
a e-mail: hessam@gmail.com
Received:
2
October
2014
Revised:
1
March
2015
Accepted:
30
March
2015
Published online:
21
April
2015
In this article, by using the molecular mechanics approach, the torsional buckling behavior of chiral multi-walled silicon carbide nanotubes (MWSiCNTs) is analytically investigated. The force constants of the molecular mechanics are theoretically obtained through establishing a linkage between the molecular mechanics and the quantum mechanics. First, surface Young’s modulus, Poisson’s ratio, flexural rigidity and atomic structure of silicon carbide (SiC) sheets are calculated according to the density functional theory (DFT) within the framework of the generalized gradient approximation and using the exchange correlation of Perdew-Burke-Ernzerhof. A closed-form expression is proposed by which through knowing the chirality of an MWSiCNT, the critical buckling shear strain can be quickly and accurately evaluated. The critical buckling shear strain is obtained for various types of chirality and different number of walls. It is concluded that with the increase of number of walls, the value of critical buckling shear strain decreases and nanotubes tend to be more unstable. Also, among all the chiral nanotubes, the one with chiral angle of (n, n/2) has the minimum value of critical buckling shear strain.
© EDP Sciences, 2015
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.