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Published: Građevinar 69 (2017) 5
Paper type: Original scientific paper
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Prediction of properties of recycled aggregate concrete

Ivana Miličević, Tanja Kalman Šipoš

Abstract

Use of recycled materials as replacement for natural aggregate in concrete is important considering the environmentally beneficial aspect of its re-use. Relations between concrete components and concrete properties cannot be presented based on mathematical formulas only. Consequently, artificial neural networks and regression techniques were applied to analyse experimental results obtained according to previous experimental design. It was established that both techniques enable highly reliable modelling of concrete properties based on its components.

Keywords
neural network, mathematical model, crushed tile, crushed brick, concrete properties

HOW TO CITE THIS ARTICLE:

Miličević, I., Šipoš, T. K.: Prediction of properties of recycled aggregate concrete, GRAĐEVINAR, 69 (2017) 5, pp. 347-357, doi: https://doi.org/10.14256/JCE.1867.2016

OR:

Miličević, I., Šipoš, T. K. (2017). Prediction of properties of recycled aggregate concrete, GRAĐEVINAR, 69 (5), 347-357, doi: https://doi.org/10.14256/JCE.1867.2016

LICENCE:

Creative Commons License
This paper is licensed under a Creative Commons Attribution 4.0 International License.
Authors:
Milicevic WEB
Ivana Miličević
University J.J.Strossmayer in Osijek
Faculty of Civil Engineering
T Kalman sipos WEB
Tanja Kalman Šipoš
University J.J.Strossmayer in Osijek
Faculty of Civil Engineering