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, cilt.22, sa.4, ss.532-540, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 22 Sayı: 4
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.conbuildmat.2006.11.007
  • Dergi Adı: CONSTRUCTION AND BUILDING MATERIALS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.532-540
  • Anahtar Kelimeler: rubberized concrete, artificial neural network, fuzzy logic, IDENTIFICATION, STRENGTH, SYSTEMS
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

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.