Simulating the seismic response of an embankment using soft computing techniques

Georgopoulos, EC; Tsompanakis, Y; Lagaros, ND; Psarropoulos, PN

dc.contributor.author	Georgopoulos, EC	en
dc.contributor.author	Tsompanakis, Y	en
dc.contributor.author	Lagaros, ND	en
dc.contributor.author	Psarropoulos, PN	en
dc.date.accessioned	2014-03-01T02:50:53Z
dc.date.available	2014-03-01T02:50:53Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35182
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-56149097114&partnerID=40&md5=5c98d480cea21494e1b9fc20bb831572	en
dc.subject.other	Civil engineering	en
dc.subject.other	Dynamic response	en
dc.subject.other	Electric fault location	en
dc.subject.other	Embankments	en
dc.subject.other	Engineering	en
dc.subject.other	Engineering geology	en
dc.subject.other	Finite element method	en
dc.subject.other	Hydraulic structures	en
dc.subject.other	Model structures	en
dc.subject.other	Neural networks	en
dc.subject.other	Number theory	en
dc.subject.other	Numerical methods	en
dc.subject.other	Seismic response	en
dc.subject.other	Seismology	en
dc.subject.other	Soft computing	en
dc.subject.other	Accurate predictions	en
dc.subject.other	Artificial neural networks	en
dc.subject.other	Earthquake engineerings	en
dc.subject.other	Finite-element methods	en
dc.subject.other	Non linearities	en
dc.subject.other	SC techniques	en
dc.subject.other	Soft Computing techniques	en
dc.subject.other	Geotechnical engineering	en
dc.title	Simulating the seismic response of an embankment using soft computing techniques	en
heal.type	conferenceItem	en
heal.publicationDate	2006	en
heal.abstract	Geotechnical earthquake engineering can generally be considered as an ""imprecise"" area due to the unavoidable uncertainties and simplifications. Therefore, relatively accurate predictions, using advanced Soft Computing (SC) techniques, can be tolerated rather than solving a problem conventionally. Artificial Neural Networks (ANNs), being one of the most popular SC techniques, have been used in many fields of science and technology, as well as, an increasing number of problems in engineering. In the present study the application of ANNs is focused on the simulation of the seismic response of an embankment. Typically, the dynamic response of an embankment is evaluated utilizing the finite-element method, where nonlinearity of geo-materials can be taken into account by an equivalent-linear procedure. This extremely time-consuming process is replaced by properly trained ANNs. © 2006 Taylor & Francis Group.	en
heal.journalName	Proceedings of the 6th European Conference on Numerical Methods in Geotechnical Engineering - Numerical Methods in Geotechnical Engineering	en
dc.identifier.spage	663	en
dc.identifier.epage	669	en