Artificial Neural Network for forecasting the Initial Setting Time of Cement Pastes

  IJETT-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2019 by IJRES Journal
Volume-6 Issue-4
Year of Publication : 2019
Authors : M. A. Abubakar, A.S. Maihula, M.B. Jibril, A. Bashir
  10.14445/23497157/IJRES-V6I4P103

MLA 

MLA Style: M. A. Abubakar, A.S. Maihula, M.B. Jibril, A. Bashir "Artificial Neural Network for forecasting the Initial Setting Time of Cement Pastes" International Journal of Recent Engineering Science 6.4(2019):13-17. 

APA Style: M. A. Abubakar, A.S. Maihula, M.B. Jibril, A. Bashir, Artificial Neural Network for forecasting the Initial Setting Time of Cement Pastes. International Journal of Recent Engineering Science, 6(4),13-17.

Abstract
The most crucial element in cement and concrete behavior is the setting time of the cement paste; it states essential information in producing the final concrete products. In this study, Neural Network (N.N.) was applied to predict the initial setting time of the cement paste. 206 cases were collected from 14 published works of literature. The inputs selected are based on their significant effect on the setting time. The inputs are cementitious materials (slag, fly ash, and silica fume), cement's oxide (CaO, Al2O3, SiO2& Fe2O3), water-to-cement ratio, environmental condition (Temperature), fineness of cement, superplasticizer, and cement content. The performances of the model were assessed from R2 and RMSE, and the results show a higher accuracy of 0.8949 (%).

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Keywords
NN, cement paste setting, R2 ,RMSE.