Monte Carlo-Based Finite Element Method for the Study of Randomly Distributed Vacancy Defects in Graphene Sheets
Joint Authors
Chu, Liu
Shi, Jiajia
Souza de Cursi, Eduardo
Xu, Xunqian
Qin, Yazhou
Xiang, Hongliang
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper proposed an effective stochastic finite element method for the study of randomly distributed vacancy defects in graphene sheets.
The honeycomb lattice of graphene is represented by beam finite elements.
The simulation results of the pristine graphene are in accordance with literatures.
The randomly dispersed vacancies are propagated and performed in graphene by integrating Monte Carlo simulation (MCS) with the beam finite element model (FEM).
The results present that the natural frequencies of different vibration modes decrease with the augment of the vacancy defect amount.
When the vacancy defect reaches 5%, the regularity and geometrical symmetry of displacement and rotation in vibration behavior are obviously damaged.
In addition, with the raise of vacancy defects, the random dispersion position of vacancy defects increases the variance in natural frequencies.
The probability density distributions of natural frequencies are close to the Gaussian and Weibull distributions.
American Psychological Association (APA)
Chu, Liu& Shi, Jiajia& Souza de Cursi, Eduardo& Xu, Xunqian& Qin, Yazhou& Xiang, Hongliang. 2018. Monte Carlo-Based Finite Element Method for the Study of Randomly Distributed Vacancy Defects in Graphene Sheets. Journal of Nanomaterials،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1193961
Modern Language Association (MLA)
Chu, Liu…[et al.]. Monte Carlo-Based Finite Element Method for the Study of Randomly Distributed Vacancy Defects in Graphene Sheets. Journal of Nanomaterials No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1193961
American Medical Association (AMA)
Chu, Liu& Shi, Jiajia& Souza de Cursi, Eduardo& Xu, Xunqian& Qin, Yazhou& Xiang, Hongliang. Monte Carlo-Based Finite Element Method for the Study of Randomly Distributed Vacancy Defects in Graphene Sheets. Journal of Nanomaterials. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1193961
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193961