Artificial intelligence based predictons of precautionary measures for buildings adjacent to tunnel route during tunneling process /
استخدام الذكاء الاصطناعى فى التنبأ بالاحتياطات الواجب اتباعها للمبانى المجاورة لمسار النفق خلال تنفيذ النفق
Basima Said Allam ; Supervised Nabil Abd El badeea Yehia , Mostafa Abukiefa , Osama Mansour
- Cairo : Basima Said Allam , 2005
- 180P : charts ; 30cm
Thesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Civil Engineering
Underground structures are facing several challenges , among which it's construction effect on the nearby buildings This effect on the nearby buildings is a main factor in choosing the tunnel route To predict this effect and choose the appropriate precautionary measures to such buildings , the Artificial Intelligence techniques are implemented in this research to achieve an integrated structural system two types of software's are used as tools to reach our goal The two types are (AI) artificial intelligence techniques and numerical analysis software The AI techniques are Fuzzy Logic , Artificial Neural Networks (ANN) , and Knowledge Based Expert System (KBES) knowledge Based Expert System (KBES) is efficient in determining the classification categories of the studied buildings along the tunnel route according to their sensitivity