Sohaib Mundher Hussein Alukashy <br/><br/>
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 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering 
<br/><br/> 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 
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<br/><br/><label>Subjects--Index Terms: </label>ANN  Soft computing  Sulfate attack