Prediction of Uplift Pressure under the Diversion Dam Using Artificial Neural Network and Genetic Algorithm

This paper proposed a procedure for prediction of uplift pressure under a diversion dam using Artificial Neural Network (ANN) and Genetic Algorithm (GA). In this study, firstly the continuity Laplace equation is solved for a diversion dam and piezometric head and uplift pressure are computed under the diversion dam. Then two similar ANNs are trained based on GA and Back-Error Propagation (BEP) technique for uplift pressure prediction in different points of considered diversion dam and their test results are compared with each other and with actual data. The inputs and outputs of ANNs are coordinates of different points under the dam and corresponding uplift pressures, respectively. The test results show that the uplift pressure is predicted with good accuracy using this procedure in different locations