Neural network aided stochastic computations and earthquake engineering

Lagaros, ND; Papadrakakis, M; Fragiadakis, M; Stefanou, G; Tsompanakis, Y

dc.contributor.author	Lagaros, ND	en
dc.contributor.author	Papadrakakis, M	en
dc.contributor.author	Fragiadakis, M	en
dc.contributor.author	Stefanou, G	en
dc.contributor.author	Tsompanakis, Y	en
dc.date.accessioned	2014-03-01T02:51:08Z
dc.date.available	2014-03-01T02:51:08Z
dc.date.issued	2007	en
dc.identifier.issn	1232308X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35388
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-34748902392&partnerID=40&md5=a8431c04beab5df1fc3bb5381c4fc42f	en
dc.subject.other	Computation theory	en
dc.subject.other	Density functional theory	en
dc.subject.other	Earthquake effects	en
dc.subject.other	Finite element method	en
dc.subject.other	Random processes	en
dc.subject.other	Structural design	en
dc.subject.other	Earthquake engineering	en
dc.subject.other	Neural computations	en
dc.subject.other	Non-Gaussian stochastic fields	en
dc.subject.other	Neural networks	en
dc.title	Neural network aided stochastic computations and earthquake engineering	en
heal.type	conferenceItem	en
heal.publicationDate	2007	en
heal.abstract	This article presents recent developments in the field of stochastic finite element analysis of structures and earthquake engineering aided by neural computations. The incorporation of Neural Networks (NN) in this type of problems is crucial since it leads to substantial reduction of the excessive computational cost. In particular, a hybrid method is presented for the simulation of homogeneous non-Gaussian stochastic fields with prescribed target marginal distribution and spectral density function. The presented method constitutes an efficient blending of the Deodatis-Micaletti method with a NN based function approximation. Earthquake-resistant design of structures using Probabilistic Safety Analysis (PSA) is an emerging field in structural engineering. It is investigated the efficiency of soft computing methods when incorporated into the solution of computationally intensive earthquake engineering problems. Copyright © 2007 by Institute of Fundamental Technological Research, Polish Academy of Sciences.	en
heal.journalName	Computer Assisted Mechanics and Engineering Sciences	en
dc.identifier.volume	14	en
dc.identifier.issue	2	en
dc.identifier.spage	251	en
dc.identifier.epage	275	en