TY  - BOOK
AU  - Amr Hamdy Mohamed Shawat
AU  - Hatem Hassan Ali , 
AU  - Osama Abdelghafor Hodhod , 
TI  - Optimization of the mix design of styrofoam light weight concrete using orthogonal arrays and neural networks / 
PY  - 2020///
CY  - Cairo : 
PB  - Amr Hamdy Mohamed Shawat , 
KW  - Neural Networks
KW  - Orthogonal arrays
KW  - Styrofoam concrete
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering; Issued also as CD
N2  - 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
UR  - http://172.23.153.220/th.pdf
ER  -