Gene-Expression Programming-Based Model for Estimating the Compressive Strength of Cement-Fly Ash Stabilized Soil and Parametric Study

The study aims to develop a reliable model using gene-expression programming (GEP) technique for estimating the unconfined compressive strength (UCS) of soil stabilization by cement and fly ash. considered effects several parameters, including ash characteristics such as calcium oxide (CaO) content, CaO/SiO2 ratio, loss ignition. research results show that proposed demonstrates superior performance with high correlation coefficient (R > 0.955) low errors. Therefore, could be confidently applied in practice variety qualities. Besides, parametric was conducted examine effect on stabilization. indicates if contains amount oxide, stabilized is significant. In addition, used combination increase mixture. A replacement ratio suggested from 0.19 0.35, corresponding total binder 10% 30%. findings help engineers optimizing proportion UCS