HEAL DSpace

Neural network aided stochastic computations and earthquake engineering

DSpace/Manakin Repository

Show simple item record

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


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record