Non-linear analysis of steel structures using stochastic processes

Λίταινας, Γεώργιος; Litainas, Georgios

dc.contributor.author	Λίταινας, Γεώργιος	el
dc.contributor.author	Litainas, Georgios	en
dc.date.accessioned	2022-10-24T08:07:37Z
dc.date.available	2022-10-24T08:07:37Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/55975
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.23673
dc.description	Εθνικό Μετσόβιο Πολυτεχνείο--Μεταπτυχιακή Εργασία. Διεπιστημονικό-Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ.) “Δομοστατικός Σχεδιασμός και Ανάλυση των Κατασκευών”	el
dc.rights	Default License
dc.subject	Λυγισμός	el
dc.subject	Πιθανότητες	el
dc.subject	Μη-γραμμική ανάλυση	el
dc.subject	Αβεβαιότητα	el
dc.subject	Στοχαστικά πεδία	el
dc.subject	Buckling	en
dc.subject	Probability	en
dc.subject	Non-linear analysis	en
dc.subject	Uncertainty	en
dc.subject	Stochastic fields	en
dc.title	Non-linear analysis of steel structures using stochastic processes	en
heal.type	masterThesis
heal.secondaryTitle	Μη-γραμμική ανάλυση μεταλλικών κατασκευών με χρήση στοχαστικών διεργασιών	el
heal.classification	Στοχαστική ανάλυση	el
heal.classification	Μεταλλικές κατασκευές	el
heal.language	en
heal.access	campus
heal.recordProvider	ntua	el
heal.publicationDate	2022-06-29
heal.abstract	Uncertainty quantification and methods used to measure the incertitude of the systems/structures have been upgraded in the last decades and as a result, many more engineers take it into account for the analysis and design. With the view to including all the uncertainty factors that can cause damage to structures, without being con- sidered into deterministic solutions, stochastic methods have been developed over the years. As a matter of fact, the Monte-Carlo simulation is the most well-known technique in the field of stochastic analysis. Nonetheless, this method needs a large number of random samples and as a consequence the computational cost can be rather high. This thesis presents the application of the Monte-Carlo simulation for exacting useful information so as to find the distribution of inelastic/elastic buckling load of the structures/systems respectively. The first application is the Mindlin-Reissner plate in which, the Monte-Carlo simulation is applied in order to create the distribution of the buckling load of the system considering two stochastic fields not only for the Young’s modulus but also thickness. In addition, further investigation is made for four different boundary conditions of the steel plate by plotting the different distributions together. In the second and last application, the Monte-Carlo simulation is applied on a 2D and 3D structure respectively so as to exact the distribution of the max base shear and top displacement considering material and geometric nonlinearity.	en
heal.advisorName	Γαντές, Χαράλαμπος	el
heal.advisorName	Παπαδόπουλος, Βησσαρίων	el
heal.committeeMemberName	Γαντές, Χαράλαμπος	el
heal.committeeMemberName	Παπαδόπουλος, Βησσαρίων	el
heal.committeeMemberName	Βαμβάτσικος, Δημήτρης	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Πολιτικών Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	85 σ.	el
heal.fullTextAvailability	false
heal.fullTextAvailability	false