Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network

This study applies multiple regression analysis and an artificial neural network in estimating the compressive strength of concrete that contains various amounts of blast furnace slag and fly ash, based on the properties of the additives (blast furnace slag and fly ash in this case) and values obtained by non-destructive testing rebound number and ultrasonic pulse velocity for 28 different concrete mixtures (Mcontrol and M1–M27) at different...