Prediction of Concrete Compressive Strength & Slump using Artificial Neural Networks (ANN)

Concrete is the most used building material in world, due to its high compressive strength and durability. Those properties are measured assessed fresh hardened states of concrete, with standard methods which time cost consuming. In present study, slump concrete has been predicted using Artificial Neural Network (ANN), constructed different input parameters involving mix design (i.e. coarse & fine aggregates properties, cement content, water/cement (W/C) ratio, admixtures type dosage …etc.).The was compared experimentally obtained actual data collected many years for materials designs Sudan. An ANN model developed by MATLAB neural network toolbox. A good co-relationships regression values 0.915 0.931 respectively have between experimental values. It concluded that method can gain acceptable predictions slump.