Predicting the strength development of cements produced with different pozzolans by neural network and fuzzy logic

TOPÇU İ. B., KARAKURT C., Saridemir M.

Materials and Design, cilt.29, sa.10, ss.1986-1991, 2008 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 10
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.matdes.2008.04.005
  • Dergi Adı: Materials and Design
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1986-1991
  • Anahtar Kelimeler: A. Ceramic matrix, A. Concrete, E. Mechanical
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

This study is based on the determination of optimum usage of pozzolans as supplementary cementing material for blended cement production. Blended cements were produced with natural zeolite (clinoptilolite), Eskişehir trass, Nevşehir trass, fly ash and ground granulated blast furnace slag at 10, 20, 30, 35, 40 and 45% replacement ratios. Experimental results were also obtained by building models according to artificial neural network and fuzzy logic systems. It is concluded that the strength development of cement mortars containing different pozzolans can be obtained according to neural network and fuzzy logic model test results without any experimental study. © 2008 Elsevier Ltd. All rights reserved.