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Article

Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks

1
Faculty of Civil Engineering and Architecture, University of J.J. Strossmayer, Vladimira Preloga 3, 31000 Osijek, Croatia
2
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2b, 31000 Osijek, Croatia
3
Faculty of Civil Engineering in Sarajevo, University of Sarajevo, Patriotske lige 30, 71000 Sarajevo, Bosnia and Herzegovina
*
Author to whom correspondence should be addressed.
Materials 2019, 12(4), 561; https://doi.org/10.3390/ma12040561
Received: 21 January 2019 / Revised: 8 February 2019 / Accepted: 11 February 2019 / Published: 13 February 2019
(This article belongs to the Special Issue Testing of Cement-Based Materials)
One of the major causes of ecological and environmental problems comes from the enormous number of discarded waste tires, which is directly connected to the exponential growth of the world’s population. In this paper, previous works carried out on the effects of partial or full replacement of aggregate in concrete with waste rubber on some properties of concrete were investigated. A database containing 457 mixtures with partial or full replacement of natural aggregate with waste rubber in concrete provided by different researchers was formed. This database served as the basis for investigating the influence of partial or full replacement of natural aggregate with waste rubber in concrete on compressive strength. With the aid of the database, the possibility of achieving reliable prediction of the compressive strength of concrete with tire rubber is explored using neural network modelling. View Full-Text
Keywords: tire rubber concrete; compressive strength; artificial neural networks; database of experimental results tire rubber concrete; compressive strength; artificial neural networks; database of experimental results
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MDPI and ACS Style

Hadzima-Nyarko, M.; Nyarko, E.K.; Ademović, N.; Miličević, I.; Kalman Šipoš, T. Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks. Materials 2019, 12, 561. https://doi.org/10.3390/ma12040561

AMA Style

Hadzima-Nyarko M, Nyarko EK, Ademović N, Miličević I, Kalman Šipoš T. Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks. Materials. 2019; 12(4):561. https://doi.org/10.3390/ma12040561

Chicago/Turabian Style

Hadzima-Nyarko, Marijana; Nyarko, Emmanuel K.; Ademović, Naida; Miličević, Ivana; Kalman Šipoš, Tanja. 2019. "Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks" Materials 12, no. 4: 561. https://doi.org/10.3390/ma12040561

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