TY  - BOOK
AU  - Sohaib Mundher Hussein Alukashy
AU  - Mostafa Ahmed Abdeen , 
AU  - Osama A. Hodhod , 
TI  - Developing an rtificial neural network to predict the effect of sulfate attack on the concrete structures / 
PY  - 2013///
CY  - Cairo : 
PB  - Sohaib Mundher Hussein Alukashy , 
KW  - ANN
KW  - Soft computing
KW  - Sulfate attack
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering; Issued also as CD
N2  - In this study, an artificail neural network (ANN) is developed to be used in prediciting the reduction incompressive strength of concrete exposed to sulfate bearing environments. A total of 214 cases are gathered from pertinent  literature. The data used in developing the artificial neural network model are arranged in a format of nine inputs which are: cement type, cement content,water to cement ratio, fine and coarse aggregate contents, mineral admixture type and content, type and concentration of sulfate salt, and exposure time
ER  -