چکیده مقاله
This paper presents an experimental and numerical study of the flow patterns in a strongly curved 60º open channel bend Corresponding numerical model is based on the computational fluid dynamics CFD and artificial neural network ANN method The use of artificial intelligence methods in different hydraulic sciences has become conventional in recent years In this study, the Fluent CFD model with k ε RNG turbulence model is used to simulate turbulent flow parameters and compared of flow pattern in a 60° sharp bend by using ANN Methods The results show that, enjoying low error values, the Fluent model has an acceptable level of consistency with the available experimental results ANN model can predict velocity pattern fairy accurately The error values of Fluent and ANN models are smaller in the outer wall contraction zones in comparison with the inner wall separation zone It could therefore be said that the error value is greater in highvelocity areas erosion prone areas than in low velocity areas sedimentationprone areas The error value is very small in the cross sections located after the bend in two models The models comparison shows that the ANN model with root mean square error RMSE equal 2 6 is more accurate than Fluent model with 4 43 error in velocity prediction at a 60° bend
کلیدواژهها
نویسندگان
Azadeh Gholami
Ph D Student, Department of Civil Engineering, Razi University, Kermanshah, Iran
Salma Ajeel
M Sc Student, Department of Civil Engineering, Razi University, Kermanshah, Iran
Hossein Bonakdari
Associate Prof, Department of Civil Engineering, Razi University, Kermanshah, Iran
علی اکبر اختری
Assistant Prof, Department of Civil Engineering, Razi University, Kermanshah, Iran
شیوه ارجاع
Gholami, Azadeh and Ajeel, Salma and Bonakdari, Hossein and akhtari, Ali Akbar,1394,Computational fluid dynamics and artificial neural network models in prediction flow variables in a sharp bend,10th International River Engineering Conference,Ahvaz
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