Monte Carlo-Based Finite Element Method for the Study of Randomly Distributed Vacancy Defects in Graphene Sheets

المؤلفون المشاركون

Chu, Liu
Shi, Jiajia
Souza de Cursi, Eduardo
Xu, Xunqian
Qin, Yazhou
Xiang, Hongliang

المصدر

Journal of Nanomaterials

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-10-10

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

الكيمياء
هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1193961