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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/4DD4E44B-C7C2-4AF7-8E17-3C6CD848DC55 | ||
| Year | 2012 | ||
| Type of Item | Conference Full Paper | ||
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| Bibliographic Citation | E.C. Georgopoulos , Y. Tsompanakis , N.D. Lagaros , P.N. Psarropoulos," Simulating the seismic response of an embankment using soft computing techniques," in 6th European Conference on Numerical Methods in Geotechnical Engineering - Numerical Methods in Geotechnical Engineering.2012 | ||
| Appears in Collections |
Geotechnical earthquake engineering can generally be considered as an “imprecise” area due tothe unavoidable uncertainties and simplifications. Therefore, relatively accurate predictions, using advancedSoft Computing (SC) techniques, can be tolerated rather than solving a problem conventionally. ArtificialNeural Networks (ANNs), being one of the most popular SC techniques, have been used in many fields of scienceand technology, as well as, an increasing number of problems in engineering. In the present study theapplication of ANNs is focused on the simulation of the seismic response of an embankment. Typically, thedynamic response of an embankment is evaluated utilizing the finite-element method, where nonlinearity ofgeo-materials can be taken into account by an equivalent-linear procedure. This extremely time-consumingprocess is replaced by properly trained ANNs.
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