Optimization of the mix design of styrofoam light weight concrete using orthogonal arrays and neural networks /
Amr Hamdy Mohamed Shawat
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
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering
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
Neural Networks Orthogonal arrays Styrofoam concrete
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
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering
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
Neural Networks Orthogonal arrays Styrofoam concrete