Extending experimental data to investigate phosphogypsume use in light brick by Artificial Neural Networks

YURDUSEV M. A., Kumanlioglu A. A., Abali Y., Zeybek M. S., Canpolat F.

International Conference on Sustainable Construction Materials and Technologies, Coventry, Birleşik Krallık, 11 - 13 Haziran 2007, ss.589-590 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Basıldığı Şehir: Coventry
  • Basıldığı Ülke: Birleşik Krallık
  • Sayfa Sayıları: ss.589-590
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, usability of wastes produced in phosphoric acid plants in structural brick manufacture has been investigated. A series of experiments for three different material combinations namely original waste plus normal brick clay, washed waste plus normal brick clay and normal brick clay with no additive were carried out to achieve this end. The results have shown that the industrial wastes considered improve the performance of the bricks. However, the results have also shown that further investigations are needed to explore the effects of interim or outer values on the performance of the bricks. To active that end, a neural experimental study is adopted. The outcome of these artificial tests have provided the appropriate values for the waste addition rate, firing speed and firing temperature.