Clustering-based identification for the prediction of splitting tensile strength of concrete

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dc.authoridTutmez, Bulent/0000-0002-2618-3285
dc.authorwosidTutmez, Bulent/ABG-8630-2020
dc.contributor.authorTutmez, Bulent
dc.date.accessioned2024-08-04T20:31:12Z
dc.date.available2024-08-04T20:31:12Z
dc.date.issued2009
dc.departmentİnönü Üniversitesien_US
dc.description.abstractSplitting tensile strength (STS) of high-performance concrete (HPC) is one of the important mechanical properties for structural design. This property is related to compressive strength (CS), water/binder (W/B) ratio and concrete age. This paper presents a clustering-based fuzzy model for the prediction of STS based on the CS and (W/B) at a fixed age (28 days). The data driven fuzzy model consists of three main steps: fuzzy clustering, inference system, and prediction. The system can be analyzed directly by the model from measured data. The performance evaluations showed that the fuzzy model is more accurate than the other prediction models concerned.en_US
dc.identifier.endpage165en_US
dc.identifier.issn1598-8198
dc.identifier.issn1598-818X
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-65449143595en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage155en_US
dc.identifier.urihttps://hdl.handle.net/11616/94794
dc.identifier.volume6en_US
dc.identifier.wosWOS:000265712500004en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTechno-Pressen_US
dc.relation.ispartofComputers and Concreteen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcompressive strengthen_US
dc.subjectsplitting tensile strengthen_US
dc.subjectwater/binder ratioen_US
dc.subjectfuzzy clusteringen_US
dc.subjectmodellingen_US
dc.titleClustering-based identification for the prediction of splitting tensile strength of concreteen_US
dc.typeArticleen_US

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