A kriging surrogate model for uncertainty analysis of graphene based on a finite element method

Shi, J; Chu, L; Braun, R

A kriging surrogate model for uncertainty analysis of graphene based on a finite element method

Shi, J Chu, L Braun, R

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Publication Type:: Journal Article
Citation:: International Journal of Molecular Sciences, 2019, 20 (9)
Issue Date:: 2019-05-01

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Field	Value	Language
dc.contributor.author	Shi, J	en_US
dc.contributor.author	Chu, L	en_US
dc.contributor.author	Braun, R https://orcid.org/0000-0002-4153-8769	en_US
dc.date.available	2019-05-08	en_US
dc.date.issued	2019-05-01	en_US
dc.identifier.citation	International Journal of Molecular Sciences, 2019, 20 (9)	en_US
dc.identifier.issn	1661-6596	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134774
dc.description.abstract	© 2019 by the authors. Due to the inevitable presence of random defects, unpredictable grain boundaries in macroscopic samples, stress concentration at clamping points, and unknown load distribution in the investigation of graphene sheets, uncertainties are crucial and challenging issues that require more exploration. The application of the Kriging surrogate model in vibration analysis of graphene sheets is proposed in this study. The Latin hypercube sampling method effectively propagates the uncertainties in geometrical and material properties of the finite element model. The accuracy and convergence of the Kriging surrogate model are confirmed by a comparison with the reported references. The uncertainty analysis for both Zigzag and Armchair graphene sheets are compared and discussed.	en_US
dc.relation.ispartof	International Journal of Molecular Sciences	en_US
dc.relation.isbasedon	10.3390/ijms20092355	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Chemical Physics	en_US
dc.subject.mesh	Graphite	en_US
dc.subject.mesh	Uncertainty	en_US
dc.subject.mesh	Finite Element Analysis	en_US
dc.subject.mesh	Vibration	en_US
dc.title	A kriging surrogate model for uncertainty analysis of graphene based on a finite element method	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	20	en_US
utslib.for	0399 Other Chemical Sciences	en_US
utslib.for	0604 Genetics	en_US
utslib.for	0699 Other Biological Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.issue	9	en_US
pubs.publication-status	Published	en_US
pubs.volume	20	en_US

Abstract:

© 2019 by the authors. Due to the inevitable presence of random defects, unpredictable grain boundaries in macroscopic samples, stress concentration at clamping points, and unknown load distribution in the investigation of graphene sheets, uncertainties are crucial and challenging issues that require more exploration. The application of the Kriging surrogate model in vibration analysis of graphene sheets is proposed in this study. The Latin hypercube sampling method effectively propagates the uncertainties in geometrical and material properties of the finite element model. The accuracy and convergence of the Kriging surrogate model are confirmed by a comparison with the reported references. The uncertainty analysis for both Zigzag and Armchair graphene sheets are compared and discussed.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/134774