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dc.contributor.authorSaridemir, Mustafa
dc.contributor.authorTopcu, Ilker Bekir
dc.contributor.authorOezcan, Fatih
dc.contributor.authorSevercan, Metin Hakan
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2009
dc.identifier.issn0950-0618
dc.identifier.issn1879-0526
dc.identifier.urihttps://dx.doi.org/10.1016/j.conbuildmat.2008.07.021
dc.identifier.urihttps://hdl.handle.net/11480/5078
dc.descriptionWOS: 000262773000011en_US
dc.description.abstractIn this study, artificial neural networks and fuzzy logic models for prediction of long-term effects of ground granulated blast furnace slag on compressive strength of concrete under wet curing conditions have been developed. For purpose of constructing these models, 44 different mixes with 284 experimental data were gathered from the literature. The data used in the artificial neural networks and fuzzy logic models are arranged in a format of five input parameters that cover the age of specimen, Portland cement, ground granulated blast furnace slag, water and aggregate, and output parameter which is 3, 7, 14, 28, 63, 90, 119, 180 and 365-day compressive strength. In the models of the training and testing results have shown that artificial neural networks and fuzzy logic systems have strong potential for prediction of long-term effects of ground granulated blast furnace slag oil compressive strength of concrete. (C) 2008 Elsevier Ltd. All rights reserved.en_US
dc.language.isoengen_US
dc.publisherELSEVIER SCI LTDen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCompressive strengthen_US
dc.subjectSlagen_US
dc.subjectArtificial neural networksen_US
dc.subjectFuzzy logicen_US
dc.titlePrediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logicen_US
dc.typearticleen_US
dc.authorid0000-0001-7320-8409en_US
dc.relation.journalCONSTRUCTION AND BUILDING MATERIALSen_US
dc.departmentNiğde ÖHÜen_US
dc.identifier.volume23en_US
dc.identifier.issue3en_US
dc.identifier.startpage1279en_US
dc.identifier.endpage1286en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthor[0-Belirlenecek]
dc.identifier.doi10.1016/j.conbuildmat.2008.07.021


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