Amr Hamdy Mohamed Shawat <br/><br/>
Optimization of the mix design of styrofoam light weight concrete using orthogonal arrays and neural networks /  
 تحقيق الأمثلية فى تصميم خلطات الخرسانة خفيفة الوزن ذات ركام الستايروفوم باستخدام المصفوفات المتعامده و الشبكات العصبية الصناعية 
Amr Hamdy Mohamed Shawat ; Supervised Osama Abdelghafor Hodhod , Hatem Hassan Ali 
 - Cairo :   Amr Hamdy Mohamed Shawat ,   2020 
 - 179 P. :   charts , facimiles ;   30cm  
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering 
<br/><br/> This research aims at creating a mathematical model for optimizing the mix proportions of extruded polystyrene Styrofoam aggregate concrete. This was achieved by an experimental program based on the application of orthogonal arrays to create a signal-to-noise ratio analysis that investigates the effects of 10 mixing parameters on 6 fresh and mechanical properties.The data is used to train and verify an artificial neural network that predicts the resultant properties of any given concrete mix within its operational parameters 
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<br/><br/><label>Subjects--Index Terms: </label>Neural Networks  Orthogonal arrays  Styrofoam concrete