| Issue |
E3S Web Conf.
Volume 19, 2017
International Conference Energy, Environment and Material Systems (EEMS 2017)
|
|
|---|---|---|
| Article Number | 03028 | |
| Number of page(s) | 4 | |
| Section | Materials | |
| DOI | https://doi.org/10.1051/e3sconf/20171903028 | |
| Published online | 23 October 2017 | |
Analytical and artificial neural network models to estimate the discharge coefficient for ogee spillway
Selcuk University, Engineering Faculty, Civil Engineering Department, Hydraulics Division, 42031 Konya, Turkey
⁎ Corresponding author: ayarar@selcuk.edu.tr
In this study, analytical and Artificial Neural Network (ANN) model were used for determine the discharge coefficient of Ogee Spillways. For this aim, discharge coefficients of 11 different heads were calculated by using a test flume having 7.5 cm width, 15 cm depth and 5 m length, in the laboratory. Discharge coefficients were also computed by the formula for the same heads measured in the laboratory to investigate the accuracy of experimental setup. An ANN model was set by using the experimental results in order to estimate the discharge coefficient. Then, the performance of the ANN model was investigated. As the result, the coefficient of determination between ANN model and experimental setup is found R2= 0.98. ANN model is show a good consistency with experimental results.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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