Determination of rheological characteristics of flow concrete by artificial neural networks method

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dc.contributor.authorBilgil A.
dc.contributor.authorTezekici B.S.
dc.contributor.authorVehbi Gokçe M.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2010
dc.departmentNiğde ÖHÜ
dc.description.abstractFresh concrete is usually considered as a non-Newtonian fluid since it is a mixture of aggregate, cement and water. The flow behaviour of fresh concrete plays a crucial role in the quality of high performance concretes. Therefore, knowing rheological characteristics of high performance fresh concrete has been an absolute must, to be able to control the behaviour of that type of concrete. But, determining rheological characteristics of fresh concrete experimentally is not an easy task. In this study, considering the mixtures of materials that compose fresh concrete, rheological characteristics of fresh concrete such as slump, yield stress and viscosity values were determined theoretically at a high degree of accuracy by artificial neural networks (ANN) method. Consequently, it was concluded that using ANN in determining flow characteristics of fresh concrete would be a convenient and easy to use tool. © 2010 Inderscience Enterprises Ltd.
dc.identifier.doi10.1504/IJRIS.2010.036879
dc.identifier.endpage316
dc.identifier.issn1755-0556
dc.identifier.issue45385
dc.identifier.scopus2-s2.0-84952965256
dc.identifier.scopusqualityQ3
dc.identifier.startpage310
dc.identifier.urihttps://dx.doi.org/10.1504/IJRIS.2010.036879
dc.identifier.urihttps://hdl.handle.net/11480/1041
dc.identifier.volume2
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.relation.ispartofInternational Journal of Reasoning-based Intelligent Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectartificial neural networks method
dc.subjectconcrete viscosity
dc.subjectfresh concrete rheology
dc.titleDetermination of rheological characteristics of flow concrete by artificial neural networks method
dc.typeArticle

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