Probabilistic interval stability assessment for structures with mixed uncertainty

Wu, D; Gao, W; Song, C; Tangaramvong, S

Probabilistic interval stability assessment for structures with mixed uncertainty

Wu, D

Gao, W Song, C Tangaramvong, S

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Structural Safety, 2016, 58, pp. 105-118
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Wu, D https://orcid.org/0000-0002-7284-5024
dc.contributor.author	Gao, W
dc.contributor.author	Song, C
dc.contributor.author	Tangaramvong, S
dc.date.accessioned	2022-08-14T23:27:15Z
dc.date.available	2022-08-14T23:27:15Z
dc.date.issued	2016-01-01
dc.identifier.citation	Structural Safety, 2016, 58, pp. 105-118
dc.identifier.issn	0167-4730
dc.identifier.uri	http://hdl.handle.net/10453/160156
dc.description.abstract	A new hybrid probabilistic and interval computational scheme is proposed to robustly assess the stability of engineering structures involving mixture of random and interval variables. Such hybrid approach possesses noticeable flexibility by directly implementing primitive information on uncertain system parameters, thus the validity of the structural safety assessment against uncertainties can be improved. By implementing the different types of uncertainties, the presented approach is able to separately investigate the effects of random and interval variables acting upon the overall structural stability. A unified interval stochastic sampling (UISS) approach is proposed to calculate the statistical characteristics (i.e., mean and standard deviation) of the lower and upper bounds of the linear bifurcation buckling load of engineering structure involving hybrid uncertain system parameters. Consequently, the stability profile of engineering structure against various uncertainties can be parametrically established, such that the bounds on the maximum structural buckling load at any particular percentile of probability can be effectively determined. Both academic and practically motivated engineering structures have been thoroughly investigated by rigorously establishing the corresponding structural stability profiles, so the applicability and accuracy of the proposed method can be critically justified.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Structural Safety
dc.relation.isbasedon	10.1016/j.strusafe.2015.09.003
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering
dc.subject.classification	Civil Engineering
dc.title	Probabilistic interval stability assessment for structures with mixed uncertainty
dc.type	Journal Article
utslib.citation.volume	58
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	*
dc.date.updated	2022-08-14T23:27:12Z
pubs.publication-status	Published
pubs.volume	58

Abstract:

A new hybrid probabilistic and interval computational scheme is proposed to robustly assess the stability of engineering structures involving mixture of random and interval variables. Such hybrid approach possesses noticeable flexibility by directly implementing primitive information on uncertain system parameters, thus the validity of the structural safety assessment against uncertainties can be improved. By implementing the different types of uncertainties, the presented approach is able to separately investigate the effects of random and interval variables acting upon the overall structural stability. A unified interval stochastic sampling (UISS) approach is proposed to calculate the statistical characteristics (i.e., mean and standard deviation) of the lower and upper bounds of the linear bifurcation buckling load of engineering structure involving hybrid uncertain system parameters. Consequently, the stability profile of engineering structure against various uncertainties can be parametrically established, such that the bounds on the maximum structural buckling load at any particular percentile of probability can be effectively determined. Both academic and practically motivated engineering structures have been thoroughly investigated by rigorously establishing the corresponding structural stability profiles, so the applicability and accuracy of the proposed method can be critically justified.

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http://hdl.handle.net/10453/160156