Developing an rtificial neural network to predict the effect of sulfate attack on the concrete structures /
Sohaib Mundher Hussein Alukashy
Developing an rtificial neural network to predict the effect of sulfate attack on the concrete structures / تطوير شبكة عصبية اصطناعية للتنبؤ بتأثير مهاجمة الكبريتات للمنشآت الخرسانية Sohaib Mundher Hussein Alukashy ; Supervised Osama A. Hodhod , Mostafa A. Abdeen - Cairo : Sohaib Mundher Hussein Alukashy , 2013 - 84 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering
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
ANN Soft computing Sulfate attack
Developing an rtificial neural network to predict the effect of sulfate attack on the concrete structures / تطوير شبكة عصبية اصطناعية للتنبؤ بتأثير مهاجمة الكبريتات للمنشآت الخرسانية Sohaib Mundher Hussein Alukashy ; Supervised Osama A. Hodhod , Mostafa A. Abdeen - Cairo : Sohaib Mundher Hussein Alukashy , 2013 - 84 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering
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
ANN Soft computing Sulfate attack