Prediction of Splitting Tensile Strength of Concrete Containing Zeolite and Diatomite by ANN

Abstract

This study was designed to investigate with two different artificial neural network (ANN) prediction model
for the behavior of concrete containing zeolite and diatomite. For purpose of constructing this model, 7 different mixes
with 63 specimens of the 28, 56 and 90 days splitting tensile strength experimental results of concrete containing
zeolite, diatomite, both zeolite and diatomite used in training and testing for ANN systems was gathered from the tests.
The data used in the ANN models are arranged in a format of seven input parameters that cover the age of samples,
Portland cement, zeolite, diatomite, aggregate, water and hyper plasticizer and an output parameter which is splitting
tensile strength of concrete. In the model, the training and testing results have shown that two different ANN systems
have strong potential as a feasible tool for predicting 28, 56 and 90 days the splitting tensile strength of concrete
containing zeolite and diatomite.