Nonlinear dynamic analysis of frames with stochastic non-Gaussian material properties

Stefanou, G; Fragiadakis, M

dc.contributor.author	Stefanou, G	en
dc.contributor.author	Fragiadakis, M	en
dc.date.accessioned	2014-03-01T01:31:20Z
dc.date.available	2014-03-01T01:31:20Z
dc.date.issued	2009	en
dc.identifier.issn	0141-0296	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19783
dc.subject	Earthquake	en
dc.subject	Fiber approach	en
dc.subject	Non-Gaussian translation fields	en
dc.subject	Nonlinear response history analysis	en
dc.subject	Stochastic analysis	en
dc.subject.classification	Engineering, Civil	en
dc.subject.other	Accelerograms	en
dc.subject.other	Beam column element	en
dc.subject.other	Computational advantages	en
dc.subject.other	Computational stochastic mechanics	en
dc.subject.other	Displacement-based elements	en
dc.subject.other	Log-normal	en
dc.subject.other	Material property	en
dc.subject.other	Monte Carlo Simulation	en
dc.subject.other	Non-Gaussian	en
dc.subject.other	Non-gaussian distribution	en
dc.subject.other	Non-Gaussian translation fields	en
dc.subject.other	Non-linear dynamic analysis	en
dc.subject.other	Nonlinear dynamic response	en
dc.subject.other	Nonlinear response history analysis	en
dc.subject.other	Parametric investigations	en
dc.subject.other	Response variability	en
dc.subject.other	Seismic action	en
dc.subject.other	Seismic intensity	en
dc.subject.other	Seismic records	en
dc.subject.other	Specified power spectral density	en
dc.subject.other	Spectral characteristics	en
dc.subject.other	Steel frame	en
dc.subject.other	Stochastic analysis	en
dc.subject.other	Stochastic field	en
dc.subject.other	Stochastic properties	en
dc.subject.other	System property	en
dc.subject.other	Uncertain parameters	en
dc.subject.other	Young's Modulus	en
dc.subject.other	Dynamic analysis	en
dc.subject.other	Dynamic response	en
dc.subject.other	Earthquake resistance	en
dc.subject.other	Earthquakes	en
dc.subject.other	Gaussian noise (electronic)	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Nonlinear control systems	en
dc.subject.other	Power spectral density	en
dc.subject.other	Random processes	en
dc.subject.other	Uncertain systems	en
dc.subject.other	Uncertainty analysis	en
dc.subject.other	Yield stress	en
dc.subject.other	Nonlinear analysis	en
dc.subject.other	dynamic response	en
dc.subject.other	Monte Carlo analysis	en
dc.subject.other	nonlinearity	en
dc.subject.other	numerical model	en
dc.subject.other	seismic response	en
dc.subject.other	stochasticity	en
dc.subject.other	structural response	en
dc.subject.other	uncertainty analysis	en
dc.title	Nonlinear dynamic analysis of frames with stochastic non-Gaussian material properties	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.engstruct.2009.02.020	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.engstruct.2009.02.020	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	The efficient prediction of the nonlinear dynamic response of structures with uncertain system properties poses a major challenge in the field of computational stochastic mechanics. In order to investigate realistic problems of structures subjected to transient seismic actions, an efficient approach is introduced. The presented methodology is used to assess the response of a steel frame modeled with a mixed fiber-based, beam-column element. The adopted modeling provides increased accuracy compared to traditional displacement-based elements and offers significant computational advantages for the analysis of systems with stochastic properties. The uncertain parameters considered are the Young's modulus and the yield stress, both described by homogeneous non-Gaussian translation stochastic fields. The frame is subjected to natural seismic records that correspond to three levels of increasing seismic intensity as well as to spectrum-compatible artificial accelerograms. Under the assumption of a pre-specified power spectral density function of the stochastic fields that describe the two uncertain parameters, the response variability is Computed using Monte Carlo simulation. A parametric investigation is carried out providing useful conclusions regarding the influence of different non-Gaussian distributions (lognormal and beta) and of the spectral characteristics of the stochastic fields on the response variability. (C) 2009 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Engineering Structures	en
dc.identifier.doi	10.1016/j.engstruct.2009.02.020	en
dc.identifier.isi	ISI:000268119400019	en
dc.identifier.volume	31	en
dc.identifier.issue	8	en
dc.identifier.spage	1841	en
dc.identifier.epage	1850	en