Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks
2019; Multidisciplinary Digital Publishing Institute; Volume: 12; Issue: 4 Linguagem: Inglês
10.3390/ma12040561
ISSN1996-1944
AutoresMarijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, Naida Ademović, Ivana Miličević, Tanja Kalman Šipoš,
Tópico(s)Concrete and Cement Materials Research
ResumoOne 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.
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