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ABSTRACT
Study of Poisson's Ratios of Graphene and Single-Walled Carbon Nanotubes Based on an Improved Molecular Structural Mechanics Model
The International Conference on Computational & Experimental Engineering and Sciences 2011, 18(1), 13-14. https://doi.org/10.3970/icces.2011.018.013
Abstract
The Poisson's ratios of a single layered graphene sheet and single-walled carbon nanotubes (SWCNTs) are computed using an improved equivalent structural mechanics model where the bond angle variations are modeled by the flexible connections of framed structures. The accuracy of the results given by the present model is evaluated by comparing the predicted results with the experimental data and the theoretical and computational results reported in the literature. It is shown that the Poisson's ratios given by the present computational model agree with the experimental data. The present result shows that the Poisson's ratios of both graphene and SWCNTs are chirality depend.Cite This Article
APA Style
Zhao, P., Shi, G. (2011). Study of poisson's ratios of graphene and single-walled carbon nanotubes based on an improved molecular structural mechanics model. The International Conference on Computational & Experimental Engineering and Sciences, 18(1), 13-14. https://doi.org/10.3970/icces.2011.018.013
Vancouver Style
Zhao P, Shi G. Study of poisson's ratios of graphene and single-walled carbon nanotubes based on an improved molecular structural mechanics model. Int Conf Comput Exp Eng Sciences . 2011;18(1):13-14 https://doi.org/10.3970/icces.2011.018.013
IEEE Style
P. Zhao and G. Shi, “Study of Poisson's Ratios of Graphene and Single-Walled Carbon Nanotubes Based on an Improved Molecular Structural Mechanics Model,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 18, no. 1, pp. 13-14, 2011. https://doi.org/10.3970/icces.2011.018.013
Copyright © 2011 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.