Determination of rheological characteristics of flow concrete by artificial neural networks method
Küçük Resim Yok
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Fresh 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.
Açıklama
Anahtar Kelimeler
artificial neural networks method, concrete viscosity, fresh concrete rheology
Kaynak
International Journal of Reasoning-based Intelligent Systems
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
2
Sayı
45385
