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گواهی نمایه سازی مقاله A comparison of sophisticated neural network and Finite Element Method in estimating of variations in permeability of earth-dam body in leakage phenomenon

عنوان مقاله: A comparison of sophisticated neural network and Finite Element Method in estimating of variations in permeability of earth-dam body in leakage phenomenon
شناسه (COI) مقاله: NCCE06_0946
منتشر شده در ششمین کنگره ملی مهندسی عمران در سال ۱۳۹۰
مشخصات نویسندگان مقاله:

Ali R. Ahmadi - Associate Professor of Kerman Graduate University of Technology
Foad Ghasemi - Master student of Kerman Graduate University of Technology
Ehsan Sadrossadat - Master student of Kerman Graduate University of Technology
Ahmad Ghasemi - Master student of Shiraz university

خلاصه مقاله:
Leakage is one of the most important problems in earth dam construction. Lake of leakage phenomenon analysis for earth dams can lead to destructive problems like increase in leakage forces, increase in pore water pressure and instability of the earth dam. In this study, leakage in two sections of an earth dam are modeled and analyzed by Finite Element Method (FEM), Multilayer Pereceptron network (MLP) and Radial Basis Function network (RBF) and the results are compared. Based on the results, it can be concluded that FEM prediction are not compatible with actual data, whereas sophisticated neural network give acceptable results

کلمات کلیدی:
sophisticated neural networks, leakage, finite element

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-NCCE06-NCCE06_0946.html