Prediction of compressive strength of concretes containing metakaolin and silica fume by gene expression programming

Recently, gene expression programming (gep) have been widely used to model the human activities in many areas of civil engineering applications. in this study, the gep models for predicting the compressive strength of concretes containing metakaolin and silica fume have been used at different days. in order to building these models, the experimental results of 195 specimens produced with 33 different mixtures were gathered from the literature. the input data used in these models have been arranged as eight parameters that cover the age of specimen and the amounts of concrete mixtures. according to these input parameters, the compressive strength values of concretes containing metakaolin and silica fume at different days are predicted in these models. the training and testing results of models have shown that gep technique has strong potential for predicting the compressive strength values of concretes containing metakaolin and silica fume at different days.