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Fuzzy Logic Model for Prediction of Properties of Fiber Reinforced Self-compacting Concrete

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dc.creator Gencel, Osman
dc.creator MARTINEZ-BARRERA, Gonzalo
dc.creator Ozel, Cengiz
dc.creator POLAT, Hasan
dc.creator Koksal, Fuat
dc.creator BROSTOW, Witold
dc.date 2012-12-31T22:00:00Z
dc.date.accessioned 2020-10-06T11:37:20Z
dc.date.available 2020-10-06T11:37:20Z
dc.identifier e1a72ec1-c449-4e11-a26e-3402ce10e363
dc.identifier 10.5755/j01.ms.19.2.4439
dc.identifier https://avesis.sdu.edu.tr/publication/details/e1a72ec1-c449-4e11-a26e-3402ce10e363/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/74320
dc.description A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) containingfly ash and polypropylene fibers has been developed. Materials studied experimentally contained 0%, 10%, 20% and 30 wt.% fly ash replacing cement, with four fiber contents at 3, 6, 9 and 12 kg/m(3) in each concrete. Water/cement ratio and superplasticizer content were kept constant at 0.40% and 1.0% of cement content, respectively. In our models, properties of fresh and hardened concrete containing fibers, fly ash and cement content were predicted for fresh as well as a function of time for hardened concrete. The results obtained from the fuzzy logic prediction model were compared with the average results of the experiments and were found to be remarkably close to one another. Polypropylene fibers provide a reinforcement, the use of fly ash lowers environmental contamination, while satisfactory properties are obtained.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Fuzzy Logic Model for Prediction of Properties of Fiber Reinforced Self-compacting Concrete
dc.type info:eu-repo/semantics/article


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