Extending experimental data to investigate
phosphogypsume use in light brick by Artificial Neural
Networks
Mehmet Ali Yurdusev
Celal Bayar University, Civil Engineering Department, Muradiye, Manisa, Turkey
Ahmet Ali Kumanlıoğlu
Dokuz Eylul University, Civil Engineering Department, Buca, Izmir, Turkey
Yüksel Abalı
Celal Bayar University, Chemistry Department, Muradiye, Manisa, Turkey
M. Sadrettin Zeybek
Gazi University, Chemical Engineering Department, Corum, Turkey
Fethullah Canpolat
UWM Center for By-Products Utilization, Department of Civil Engineering and
Mechanics. University of Wisconsin, Milvaukee
ABSTRACT: 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.