SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS

Abstract

The 90 experimental data samples previously validated in the current literature regarding the compressive strength of mortarshave been collected and evaluated to develop the practical soft-computing model which is presented in this study for predictionof the compressive strength of mortars with blended cements. The presented model provides many economical, technical andenvironmental benefits to be swiftly implemented into the practice. It is formulated based on the soft-computing techniques ofgenetic expression programming (GEP) by considering the model factors including as specific weight and surface of cement,water/cement ratio, testing age, the amounts of clinker, limestone, pozzolana and gypsum. The paper explains the validity of thepresented model with that randomly selected experimental sub datasets available in the current literature. The findings illustratethat the presented GEP model has a favorable potential for estimating the compressive strength of mortars with blended cements.