Fragility assessment of steel frames using neural networks

Lagaros, ND; Fragiadakis, M

dc.contributor.author	Lagaros, ND	en
dc.contributor.author	Fragiadakis, M	en
dc.date.accessioned	2014-03-01T01:26:23Z
dc.date.available	2014-03-01T01:26:23Z
dc.date.issued	2007	en
dc.identifier.issn	8755-2930	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18046
dc.subject	Neural Network	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Engineering, Geological	en
dc.subject.other	Computer simulation	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Neural networks	en
dc.subject.other	Seismic response	en
dc.subject.other	Steel structures	en
dc.subject.other	Uncertainty analysis	en
dc.subject.other	Fragility assessment	en
dc.subject.other	Ground motion	en
dc.subject.other	Seismic demand	en
dc.subject.other	Structural frames	en
dc.title	Fragility assessment of steel frames using neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1193/1.2798241	en
heal.identifier.secondary	http://dx.doi.org/10.1193/1.2798241	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	A neural network-based methodology is proposed for the rapid evaluation of the seismic demand using data extracted from ground motion recor Limit-state fragilities for a moment-resisting steel frame are developed using Monte Carlo simulation. The proposed methodology allows taking into account uncertainties on both structural capacity and seismic demand with reduced computational cost. The use of neural networks is motivated by the approximate concepts inherent in the fragility assessment and the large number of time-consuming nonlinear response history analyses required for the accurate calculation of the probability of a limit-state being exceeded. The trained neural network is used to obtain the level of seismic demand, which is expressed in terms of maximum interstory drift. The methodology proposed is efficient and general in application. © 2007, Earthquake Engineering Research Institute.	en
heal.publisher	EARTHQUAKE ENGINEERING RESEARCH INST	en
heal.journalName	Earthquake Spectra	en
dc.identifier.doi	10.1193/1.2798241	en
dc.identifier.isi	ISI:000250981900001	en
dc.identifier.volume	23	en
dc.identifier.issue	4	en
dc.identifier.spage	735	en
dc.identifier.epage	752	en