Neural network based prediction schemes of the non-linear seismic response of 3D buildings

Lagaros, ND; Papadrakakis, M

dc.contributor.author	Lagaros, ND	en
dc.contributor.author	Papadrakakis, M	en
dc.date.accessioned	2014-03-01T02:53:57Z
dc.date.available	2014-03-01T02:53:57Z
dc.date.issued	2012	en
dc.identifier.issn	09659978	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36498
dc.subject	Computational earthquake engineering	en
dc.subject	Multiple hazard levels	en
dc.subject	Neural networks	en
dc.subject	Non-linear structural dynamic analysis	en
dc.subject	Performance-based design	en
dc.subject	RC and steel buildings	en
dc.subject.other	Earthquake engineering	en
dc.subject.other	Multiple hazards	en
dc.subject.other	Nonlinear structural dynamics	en
dc.subject.other	Performance based design	en
dc.subject.other	RC and steel buildings	en
dc.subject.other	Budget control	en
dc.subject.other	Civil engineering	en
dc.subject.other	Computational mechanics	en
dc.subject.other	Design	en
dc.subject.other	Dynamic analysis	en
dc.subject.other	Dynamic loads	en
dc.subject.other	Earthquakes	en
dc.subject.other	Engineering geology	en
dc.subject.other	Heuristic methods	en
dc.subject.other	Seismic design	en
dc.subject.other	Soft computing	en
dc.subject.other	Structural dynamics	en
dc.subject.other	Neural networks	en
dc.title	Neural network based prediction schemes of the non-linear seismic response of 3D buildings	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1016/j.advengsoft.2011.05.033	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.advengsoft.2011.05.033	en
heal.publicationDate	2012	en
heal.abstract	Since early 1980s new families of computational methods, termed as soft computing (SC) methods, have been proposed. SC methods are based on heuristic approaches rather than on rigorous mathematics while their use in various areas of computational mechanics is continuously growing. Artificial neural networks (ANNs), which have been applied in many engineering fields, are among the most popular SC methods. Computational earthquake engineering is a computationally intensive field where ANNs have been used for the simulation of the structural behaviour under static or dynamic loading. Performance-based design (PBD) is the current trend for the seismic design of structural systems where the structural performance is assessed for multiple hazard levels, requiring significant computational effort. In this work a new adaptive scheme is proposed in order to predict the structural non-linear behaviour when earthquake actions of increased severity are considered. The predicted structural response by ANNs can be used in the PBD framework when dynamic analyses are performed, aiming at reducing the excessive computational cost. © 2011 Civil-Comp Ltd and Elsevier Ltd. All rights reserved.	en
heal.journalName	Advances in Engineering Software	en
dc.identifier.doi	10.1016/j.advengsoft.2011.05.033	en
dc.identifier.volume	44	en
dc.identifier.issue	1	en
dc.identifier.spage	92	en
dc.identifier.epage	115	en