سال انتشار: ۱۳۹۱

محل انتشار: نهمین سمینار بین المللی مهندسی رودخانه

تعداد صفحات: ۸

نویسنده(ها):

M Karimi – Assistant Professor, Mechanical Engineering Department
L Behjati – MSc Student, Mechatronic Engineering Department, Islamic Azad
Y Nabati Soltanahmadi –
F Nazari – PhD Student, Mechanical Engineering Department

چکیده:

In this study a procedure for uplift pressure estimation under a diversion dam using Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) algorithm is proposed. Firstly the Laplace equation is solved and piezometric head and uplift pressure are computed under the dam. Then ANN is trained based on PSO algorithm for uplift pressure prediction in different points of considered model and the results are compared with actual data. The inputs and outputs of ANN are coordinates of different points under the dam and corresponding uplift pressures, respectively. The test results show the uplift pressure is predicted with good accuracy