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Evaluation of the Flow Properties of Self-Compacting Fly-ash Concrete Using Artificial Neural NetworkBy Temple Nwofor, L.A. Joshua
Abstract: The purpose of this study is to examine the feasibility of using artificial neural network programming for the calculation of the fresh properties of self-compacting concrete. The input parameters of the neural network were the mix composition influencing the fresh properties of self-compacting concrete namely; the cement content, the dosages of fly-ash, water, fine aggregate, coarse aggregate, and superplasticizer. The model is founded on a multilayer feed forward neural network. …
Published in International Journal of Structural Engineering and Analysis · Vol. 7, Issue 2, 2021 · pp. 35–40 Read article →