Seismic risk assessment of frame structures using stochastic beam-column elements

Μπαλόκας, Γεώργιος; Balokas, Georgios

dc.contributor.author	Μπαλόκας, Γεώργιος	el
dc.contributor.author	Balokas, Georgios	en
dc.date.accessioned	2016-09-20T09:14:34Z
dc.date.available	2016-09-20T09:14:34Z
dc.date.issued	2016-09-20
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/43605
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.5898
dc.description	Εθνικό Μετσόβιο Πολυτεχνείο--Μεταπτυχιακή Εργασία. Διεπιστημονικό-Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ.) "Analysis and Design of Earthquake Resistant Structures"	el
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Stochastic analysis	en
dc.subject	Force-based element	en
dc.subject	Non-Gaussian translation fields	en
dc.subject	Fiber elements	en
dc.subject	Seismic assessment	en
dc.subject	Fragility analysis	en
dc.subject	Στοχαστικά πεπερασμένα στοιχεία	el
dc.subject	Ραβδωτό στοιχείο δυνάμεων	el
dc.subject	Στοχαστικά πεδία μη κανονικής κατανομής	el
dc.subject	Στοιχεία ινών	el
dc.subject	Σεισμική απόκριση	el
dc.subject	Ανάλυση τρωτότητας	el
dc.title	Seismic risk assessment of frame structures using stochastic beam-column elements	en
heal.type	masterThesis
heal.classification	Structural engineering	en
heal.classificationURI	http://skos.um.es/unesco6/330532
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2016-06
heal.abstract	A novel modeling for the assessment of structures with uncertain, spatially variable system properties is presented. The use of flexibility-based (or force-based) fiber elements for structures whose properties are described by homogeneous non-Gaussian translation fields is discussed. For deterministic problems, force-based fiber elements have been proven able to provide accurate response estimates using a single beam element per structural member. The proposed modeling allows using different integration schemes depending on the correlation length parameter of the field and is able to consistently integrate the spatial variability of the uncertain system properties. This formulation allows to overcome the need for a very dense mesh of beam elements and considerably reduces the computing effort, even for stochastic fields of short correlation length and for highly nonlinear problems. The performance of the proposed modeling is demonstrated on a steel portal frame and on a reinforced concrete bridge and is assessed by using the Monte Carlo Simulation under the assumption of a pre-defined power spectral density function of the stochastic fields. Nonlinear static analysis offers probabilistic capacity curves that provide valuable information on the sensitivity of the proposed modeling with respect to the correlation length (correlation scale) of the stochastic fields and its effect on the system response variability and reliability. Furthermore, a series of nonlinear response history analyses are performed using natural ground motions of levels of increasing seismic intensity and subsequently used for calculating the bridge’s system fragility. The dissertation underlines the importance of realistic uncertainty quantification and provides a valuable guidance for the nonlinear stochastic analysis of skeletal structures.	en
heal.advisorName	Φραγκιαδάκης, Μιχαήλ	el
heal.committeeMemberName	Σπηλιόπουλος, Κωνσταντίνος	el
heal.committeeMemberName	Παπαδόπουλος, Βησσαρίων	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Πολιτικών Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	71 σ.	el
heal.fullTextAvailability	true