Estimation of discharge coefficient of radial gates by using genetic algorithm

Radial gates are structures for discharge control and regulating the water level. For most efficient use of this instrument and by the recent progress on the automatic flow regulation schemes for the weir and water conveyance, accurate estimating of discharge coefficient of radial gates is very important. There are several experimental relations and charts for estimation of discharge coefficient of radial gates but due to some control conditions the accuracy is not acceptable for practical proposes and are often used for limited conditions. In this study a genetic algorithm program have been used for finding the optimum relation for assessing the discharge coefficient of radial gates in submerged conditions. Also several relations were examined for finding the best one, and then by using statistical assessments between the estimated and experimental data, the best non-linear relation was obtained. The relation was verified by using 50 data sets (experimental and field data) collected by different researchers and statisticd parameters such as mean, standard deviation (estimatul-measured ratio) and standard error were estimated. Theses values were 1.05, 0.204 and 0.1 respectively. The results showed the high accuracy of proposed relation in comparison with the previous studies.