Predicting the Compressive Strength of Concrete Containing Zeolite under the Effect of H2SO4 by ANFIS
Gıyasettin Özcan Muammer Akçay Yılmaz Koçak Eyyüp Gülbandılar
AbstractThis study was designed to investigate with ANFIS (Adaptive network-based fuzzy inference systems) prediction model for the behavior of concrete containing zeolite under the effect of H2SO4. For purpose of constructing this model, 3 different mixes with 27 specimens of the 28, 56 and 90 hydration days compressive strength experimental results of concrete containing zeolite used in training for ANFIS system was gathered from the tests. The data used in the ANFIS model are arranged in a format of six input parameters that cover the age of samples, Portland cement, zeolite, aggregate, water and hyper plasticizer and an output parameter which is compressive strength of concrete. In the model, the testing results have shown that ANFIS system has strong potential as a feasible tool for predicting 28, 56 and 90 hydration days the compressive strength of concrete containing zeolite under the effect of H2SO4.