The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model

Abstract The uncertainty and fluctuations in graphene characteristic parameters are inevitable issues in both of experimental measurements and numerical investigations. In this paper, the correlations between characteristic parameters (Young’s modulus, Poisson’s ratio and thickness of graphene) and...

Full description

Bibliographic Details
Main Authors: Liu Chu, Jiajia Shi, Eduardo Souza de Cursi
Format: Article
Language:English
Published: Nature Portfolio 2021-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-02429-2
_version_ 1818683414965911552
author Liu Chu
Jiajia Shi
Eduardo Souza de Cursi
author_facet Liu Chu
Jiajia Shi
Eduardo Souza de Cursi
author_sort Liu Chu
collection DOAJ
description Abstract The uncertainty and fluctuations in graphene characteristic parameters are inevitable issues in both of experimental measurements and numerical investigations. In this paper, the correlations between characteristic parameters (Young’s modulus, Poisson’s ratio and thickness of graphene) and resonant frequencies are analyzed by the Monte Carlo based stochastic finite element model. Based on the Monte Carlo stochastic sampling procedure, the uncertainty in the characteristic parameters are properly propagated and quantified. The displacements and rotation modes of graphene under the resonant vibration computed by the finite element method are verified. Furthermore, the result robustness of stochastic samples is discussed based on the statistic records and probability density distributions. In addition, both the Pearson and Spearman correlation coefficients of the corresponding characteristic parameters are calculated and compared. The work in this paper provides a feasible and highly efficient method for the characteristic parameter correlation discussion by taking uncertainty into consideration.
first_indexed 2024-12-17T10:34:22Z
format Article
id doaj.art-4e15c5bf2a464bf898f8cca89a1aabbe
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-12-17T10:34:22Z
publishDate 2021-11-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-4e15c5bf2a464bf898f8cca89a1aabbe2022-12-21T21:52:25ZengNature PortfolioScientific Reports2045-23222021-11-0111111310.1038/s41598-021-02429-2The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element modelLiu Chu0Jiajia Shi1Eduardo Souza de Cursi2School of Transportation and Civil Engineering, Nantong UniversitySchool of Transportation and Civil Engineering, Nantong UniversityDépartement Mécanique, Institut National des Sciences Appliquées de RouenAbstract The uncertainty and fluctuations in graphene characteristic parameters are inevitable issues in both of experimental measurements and numerical investigations. In this paper, the correlations between characteristic parameters (Young’s modulus, Poisson’s ratio and thickness of graphene) and resonant frequencies are analyzed by the Monte Carlo based stochastic finite element model. Based on the Monte Carlo stochastic sampling procedure, the uncertainty in the characteristic parameters are properly propagated and quantified. The displacements and rotation modes of graphene under the resonant vibration computed by the finite element method are verified. Furthermore, the result robustness of stochastic samples is discussed based on the statistic records and probability density distributions. In addition, both the Pearson and Spearman correlation coefficients of the corresponding characteristic parameters are calculated and compared. The work in this paper provides a feasible and highly efficient method for the characteristic parameter correlation discussion by taking uncertainty into consideration.https://doi.org/10.1038/s41598-021-02429-2
spellingShingle Liu Chu
Jiajia Shi
Eduardo Souza de Cursi
The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model
Scientific Reports
title The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model
title_full The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model
title_fullStr The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model
title_full_unstemmed The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model
title_short The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model
title_sort correlation between graphene characteristic parameters and resonant frequencies by monte carlo based stochastic finite element model
url https://doi.org/10.1038/s41598-021-02429-2
work_keys_str_mv AT liuchu thecorrelationbetweengraphenecharacteristicparametersandresonantfrequenciesbymontecarlobasedstochasticfiniteelementmodel
AT jiajiashi thecorrelationbetweengraphenecharacteristicparametersandresonantfrequenciesbymontecarlobasedstochasticfiniteelementmodel
AT eduardosouzadecursi thecorrelationbetweengraphenecharacteristicparametersandresonantfrequenciesbymontecarlobasedstochasticfiniteelementmodel
AT liuchu correlationbetweengraphenecharacteristicparametersandresonantfrequenciesbymontecarlobasedstochasticfiniteelementmodel
AT jiajiashi correlationbetweengraphenecharacteristicparametersandresonantfrequenciesbymontecarlobasedstochasticfiniteelementmodel
AT eduardosouzadecursi correlationbetweengraphenecharacteristicparametersandresonantfrequenciesbymontecarlobasedstochasticfiniteelementmodel