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dc.contributor.authorÖztekin, Ertekin
dc.date.accessioned2019-12-19T13:43:31Z
dc.date.available2019-12-19T13:43:31Z
dc.date.issued2016
dc.identifier.urihttps://hdl.handle.net/20.500.12440/1860
dc.description.abstractPurpose – A lot of triaxial compressive models for different concrete types and different concrete strength classes were proposed to be used in structural analyses. The existence of so many models creates conflicts and confusions during the selection of the models. In this study, reliability analyses were carried out to prevent such conflicts and confusions and to determine the most reliable model for normal- and high-strength concrete (NSC and HSC) under combined triaxial compressions. The paper aims to discuss these issues.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectReliability; Monte Carlo simulation; Artificial neural network; Concrete compressive strength; Triaxial compressionen_US
dc.titleANN based investigations of reliabilities of the models for concrete under triaxial compressionen_US
dc.typearticleen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.contributor.institutionauthorÖztekin, Ertekin


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