Analytical and artificial neural network models to estimate the discharge coefficient for ogee spillway
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
E D P SCIENCES
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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 R-2 = 0.98. ANN model is show a good consistency with experimental results.
Açıklama
International Conference on Energy, Environment and Material Systems (EEMS) -- SEP 13-15, 2017 -- Polanica Zdroj, POLAND
Anahtar Kelimeler
Kaynak
INTERNATIONAL CONFERENCE ENERGY, ENVIRONMENT AND MATERIAL SYSTEMS (EEMS 2017)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
19
