AN ANN APPROACHES ON ESTIMATING EARTHQUAKE PERFORMANCES OF EXISTING RC BUILDINGS

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dc.contributor.authorArslan, M. H.
dc.contributor.authorCeylan, M.
dc.contributor.authorKoyuncu, T.
dc.date.accessioned2020-03-26T18:23:46Z
dc.date.available2020-03-26T18:23:46Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis study aims at developing an artificial intelligence-based (ANN based) analytical method to analyze earthquake performances of the reinforced concrete (RC) buildings. In the scope of the present study, 66 real RC buildings with four to ten storeys were subject to performance analysis according to 19 parameters considered effective on the performance of R,C buildings. In addition, the level of performance of these buildings in case of an earthquake was determined on the basis of the 4-grade performance levels specified in Turkish Earthquake Code-2007 (TEC-2007). Thus, an output performance data group was created for the analyzed buildings, in accordance with the input data. Thanks to the ANN-based fast evaluation algorithm mentioned above and developed within the scope of the proposed project study, it will be possible to make an economic and rapid evaluation of four to ten-storey RC buildings in Turkey with great accuracy (about 80%). Detection of post-earthquake performances of RC buildings in the scope of the present study will facilitate reaching important results in terms of buildings, which will be beneficial for Civil Engineers of Turkey and similar countries.en_US
dc.identifier.doi10.14311/NNW.2012.22.027en_US
dc.identifier.endpage458en_US
dc.identifier.issn1210-0552en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage443en_US
dc.identifier.urihttps://dx.doi.org/10.14311/NNW.2012.22.027
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27725
dc.identifier.volume22en_US
dc.identifier.wosWOS:000311976300003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherACAD SCIENCES CZECH REPUBLIC, INST COMPUTER SCIENCEen_US
dc.relation.ispartofNEURAL NETWORK WORLDen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEarthquake performanceen_US
dc.subjectreinforced concreteen_US
dc.subjectartificial neural networken_US
dc.titleAN ANN APPROACHES ON ESTIMATING EARTHQUAKE PERFORMANCES OF EXISTING RC BUILDINGSen_US
dc.typeArticleen_US

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