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

Year 2018, Volume: 19 Issue: 1, 95 - 103, 31.03.2018

Zeynep Alğın , Kasım Mermerdaş

https://doi.org/10.18038/aubtda.332714

Abstract

The 90 experimental data samples previously validated in the current literature regarding the compressive
strength of mortars have been collected and evaluated to develop the practical
soft-computing model which is presented in this study for prediction of the
compressive strength of mortars with blended cements. The presented model
provides many economical, technical and environmental benefits to be swiftly
implemented into the practice. It is formulated based on the soft-computing
techniques of genetic 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. Paper
explains the validity of the presented model with that randomly selected
experimental sub datasets available in the current literature. The findings illustrate
that the presented GEP model has a favorable potential for estimating the
compressive strength of mortars with blended cements.

Keywords

Blended cement, Compressive strength, Experimental database, Modelling

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