Genetic expression programming for prediction of heat of hydration of the blended cements

Date

2009-03-01

Author

BİNİCİ, HANİFİ
KAYADELEN, CAFER
ÇAĞATAY, İSMAİL HAKKI
Tokyay, Mustafa
KAPLAN, HASAN

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This study presents a new approach based on Genetic Expression Programming (GEP) for modeling of variation of heat of hydration of Portland and blended cements. For that purpose, two different GEP models were developed to generate two mathematical equations. In the GEP Model 1, six input parameters such as the ground blast furnace slag replacement ratio (GBFS), ground basaltic pumice replacement ratio (GBP), clinker and gypsum ratio (CG), cement fineness (CF), grinding type (GT) and time (T) were used. In GEP Model 2, three input parameters such as cement fineness (CF), grinding type (GT) and time (T) were used. The results were highly promising in terms of training performances and prediction accuracies and revealed that the proposed GEP models can be used in the prediction of heat of hydration of blended cements.

Subject Keywords

Cement, Heat of hydration, Genetic expression programming

URI

https://hdl.handle.net/11511/55106

Collections

Graduate School of Natural and Applied Sciences, Article