PREDICTION OF RUBBERISED CONCRETE PROPERTIES USING ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC

Waste automobile tyres in two different sizes were used in production of rubberised fresh concretes. Their unit weight and flow table values were determined experimentally. The values determined were also found when artificial neural networks (ANN) and fuzzy logic (FL) models were employed. According to the given rubberised concrete data, it was demonstrated that properties of fresh concrete could be determined without attempting any experiments by using ANN and FL models. During the tests, similar results were observed for experimental results with those of ANN and FL models. The facts that lighter concrete might be produced using tyre as a light material and waste tyres may be recycled this way are presented.