PREDICTING THE SPLITTING TENSILE STRENGTH OF CONCRETE CONTAINING ZEOLITE AND DIATOMITE UNDER THE EFFECT OF MGSO4 BY ANN
Published: 11 Jul 2016
Abstract: This study was designed to investigate with artificial neural network (ANN) prediction model for the behavior of concrete containing zeolite and diatomite under the effect of MgSO4. 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 system was gathered from the tests. The data used in the ANN model 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 ANN system has strong potential as a feasible tool for predicting 28, 56 and 90 days the splitting tensile strength of concrete containing zeolite and diatomite under the effect of MgSO4.
Keywords: artificial neural network, splitting tensile strength, concrete, zeolite, diatomite
Cite this article: Eyyup Gulbandilar, Yilmaz Kocak. PREDICTING THE SPLITTING TENSILE STRENGTH OF CONCRETE CONTAINING ZEOLITE AND DIATOMITE UNDER THE EFFECT OF MGSO4 BY ANN. Journal of International Scientific Publications: Materials, Methods & Technologies 10, 529-540 (2016). https://www.scientific-publications.net/en/article/1001175/
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