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

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

sophisticated neural networks, leakage, finite element