dc.contributor.author | Öztekin, Ertekin | |
dc.date.accessioned | 2019-12-19T13:43:31Z | |
dc.date.available | 2019-12-19T13:43:31Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12440/1860 | |
dc.description.abstract | Purpose – 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.iso | eng | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Reliability; Monte Carlo simulation; Artificial neural network; Concrete compressive strength; Triaxial compression | en_US |
dc.title | ANN based investigations of reliabilities of the models for concrete under triaxial compression | en_US |
dc.type | article | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü | en_US |
dc.contributor.institutionauthor | Öztekin, Ertekin | |