SEARCH RESULT

This 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.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Gıyasettin Özcan Muammer Akçay Yılmaz Koçak Eyyüp Gülbandılar

In this study, it was designed to investigate with four different artificial neural network (ANN) prediction models for the concrete behavior containing zeolite and diatomite under the effect of H2SO4. The constructing purpose of this model, 3 different mixes with 27 specimens of the 28, 56 and 90 days splitting tensile strength experimental results of concrete containing zeolite and diatomite. Those experimental results used in training and testing for ANN systems were gathered from the tests. The days (age of samples), Portland cement, zeolite, diatomite, aggregate, water and hyper plasticizer as input data parameters and splitting tensile strength of concrete as an output parameter are used in the ANN models. The four different ANN models have strong potential as a feasible tool for predicting 28, 56 and 90 days the splitting tensile strength of concrete containing zeolite and diatomite in according to the training and testing results.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Yılmaz Koçak Gıyasettin Özcan Muammer Akçay Eyyüp Gülbandılar