Probabilistic interval geometrically nonlinear analysis for structures

Wu, B; Gao, W; Wu, D; Song, C

Probabilistic interval geometrically nonlinear analysis for structures

Wu, B Gao, W Wu, D

Song, C

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Structural Safety, 2017, 65, pp. 100-112
Issue Date:: 2017-03-01

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Field	Value	Language
dc.contributor.author	Wu, B
dc.contributor.author	Gao, W
dc.contributor.author	Wu, D https://orcid.org/0000-0002-7284-5024
dc.contributor.author	Song, C
dc.date.accessioned	2022-07-14T04:24:32Z
dc.date.available	2022-07-14T04:24:32Z
dc.date.issued	2017-03-01
dc.identifier.citation	Structural Safety, 2017, 65, pp. 100-112
dc.identifier.issn	0167-4730
dc.identifier.issn	1879-3355
dc.identifier.uri	http://hdl.handle.net/10453/158902
dc.description.abstract	This paper presents a new unified Chebyshev surrogate model based hybrid uncertainty analysis method for robustly assessing geometrically nonlinear responses of engineering structures involving both random and interval uncertainties. In this proposed approach, Chebyshev response surface strategy combined with finite element framework is developed to model the nonlinear relationships between the uncertain structural parameters and the corresponding system responses. A comprehensive computational analysis framework, namely generalized unified interval stochastic sampling, is devised to furnish the statistical features, including means, standard deviations, probability density functions and cumulative distribution functions, of the lower and upper bounds of the nonlinear random interval structural behaviours. The applicability and notable performance of the presented approach are elucidated with the help of two practically motivated examples.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Structural Safety
dc.relation.isbasedon	10.1016/j.strusafe.2017.01.002
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering
dc.subject.classification	Civil Engineering
dc.title	Probabilistic interval geometrically nonlinear analysis for structures
dc.type	Journal Article
utslib.citation.volume	65
utslib.for	0905 Civil Engineering
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 Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-07-14T04:24:28Z
pubs.publication-status	Published
pubs.volume	65

Abstract:

This paper presents a new unified Chebyshev surrogate model based hybrid uncertainty analysis method for robustly assessing geometrically nonlinear responses of engineering structures involving both random and interval uncertainties. In this proposed approach, Chebyshev response surface strategy combined with finite element framework is developed to model the nonlinear relationships between the uncertain structural parameters and the corresponding system responses. A comprehensive computational analysis framework, namely generalized unified interval stochastic sampling, is devised to furnish the statistical features, including means, standard deviations, probability density functions and cumulative distribution functions, of the lower and upper bounds of the nonlinear random interval structural behaviours. The applicability and notable performance of the presented approach are elucidated with the help of two practically motivated examples.

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http://hdl.handle.net/10453/158902