Prediction of rubberized concrete properties using artificial neural network and fuzzy logic

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TOPÇU İ. B., Saridemir M.

CONSTRUCTION AND BUILDING MATERIALS, vol.22, no.4, pp.532-540, 2008 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 22 Issue: 4
  • Publication Date: 2008
  • Doi Number: 10.1016/j.conbuildmat.2006.11.007
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.532-540
  • Keywords: rubberized concrete, artificial neural network, fuzzy logic, IDENTIFICATION, STRENGTH, SYSTEMS
  • Eskisehir Osmangazi University Affiliated: Yes


In this study, waste automobile tyres in two different sizes were used in production of rubberized 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 rubberized 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. Besides, the facts that lighter concrete might be produced using tyre as a light material and waste tyres may be recycled this way were put forth. (c) 2006 Elsevier Ltd. All rights reserved.