Rule-based Mamdani type fuzzy logic model for the prediction of compressive strength of silica fume included concrete using non-destructive test results

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dc.contributor.authorSubaşı, Serkan
dc.contributor.authorBeycioğlu, Ahmet
dc.contributor.authorSancak, Emre
dc.contributor.authorŞahin, İbrahim
dc.date.accessioned2020-04-30T23:31:45Z
dc.date.available2020-04-30T23:31:45Z
dc.date.issued2013
dc.departmentDÜ, Teknoloji Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.descriptionWOS: 000318003100011en_US
dc.description.abstractIn this study, a fuzzy logic model for predicting compressive strength of concretes containing silica fume (SF) (0, 5, 10%) has been developed using non-destructive testing results [ultrasonic pulse velocity (km/s) and Schmidt hardness (R)]. Experimental results of non-destructive tests and the amount of the SF were used to construct the model. Result have shown that fuzzy logic systems have strong potential for predicting 7, 28, and 90 days compressive strength using ultrasonic pulse velocity (km/s), Schmidt hardness (R), and silica fume content (%) as inputs.en_US
dc.identifier.doi10.1007/s00521-012-0879-4en_US
dc.identifier.endpage1139en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue6en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1133en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-012-0879-4
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4447
dc.identifier.volume22en_US
dc.identifier.wosWOS:000318003100011en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNon-destructive testingen_US
dc.subjectSilica fumeen_US
dc.subjectCompressive strengthen_US
dc.subjectFuzzy logicen_US
dc.titleRule-based Mamdani type fuzzy logic model for the prediction of compressive strength of silica fume included concrete using non-destructive test resultsen_US
dc.typeArticleen_US

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