چکیده مقاله
In this paper the flow field in a 90o bend is analyzed numerically and also predicted using Artificial Neural Networks ANN In this study, first of all, for solving governing equations of flow, a computational fluid dynamic ANSYS CFX 12 code is used Then, by presenting a 3D numerical modelin 2 phases, variation of velocity field in different sections of a bend is studied In addition results ofnumerical model are validated by experimental data After that for prediction of velocity field in variable sections of bend, an ANN is trained based on Back Error Propagation BEP technique The inputs of the ANN are depth, radius and angle of different points of bend, and target outputs are corresponding velocities Results of ANN test show that they have good agreement between actual and predicted data
کلیدواژهها
نویسندگان
s baghalian
Department of Civil Engineering, Razi University, Kermanshah, Iran
h Bonakdari
s baghalian Department of Civil Engineering, Razi University, Kermanshah, Iranf Nazari Department of Mechanical Engineering, Young Researchers Clubm Fazli
f Nazari
Department of Mechanical Engineering, Young Researchers Club
m Fazli
s baghalian Department of Civil Engineering, Razi University, Kermanshah, Iranh Bonakdarif Nazari Department of Mechanical Engineering, Young Researchers Club
شیوه ارجاع
baghalian, s and Bonakdari, h and Nazari, f and Fazli, m,1391,Applying Artificial Neural Network to Analysis and Prediction of the Flow Field in Open Channel with Bend,9th International Congress on Civil Engineering,Isfahan
ارائهشده در
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