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Original scientific paper

https://doi.org/10.14256/JCE.1867.2016

Prediction of properties of recycled aggregate concrete

Ivana Miličević
Tanja Kalman Šipoš


Full text: croatian pdf 712 Kb

page 347-357

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Full text: english pdf 707 Kb

page 347-357

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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

Hrčak ID:

183243

URI

https://hrcak.srce.hr/183243

Publication date:

20.6.2017.

Article data in other languages: croatian

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