The prediction of the abrasion resistance of mortars modified with granite powder and fly ash using artificial neural networks

Abstract

The paper predicts the abrasion resistance of a cementitious composite containing granite powder and fly ash replacing up to 30% of the cement weight. For this purpose, intelligent artificial neural network (ANN) models were used and compared. A database was build based on and mix composition, curing time and curing method. The model developed to predict the abrasion resistance of the cementitious composites containing granite powder and fly ash was shown to be accurate. This method can be used especially for designing cement mortars with granite powder and fly ash additives replacing cement in the range of 0% to 30% of its weight. These mortars can be used for floors in industrial buildings.