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Paper Information

Journal:   WATER ENGINEERING   winter 2019 , Volume 11 , Number 39 #f00650; Page(s) 149 To 160.
 
Paper: 

Examining the Velocity field and the effects of hydraulic and geometrical parameters on the amount of the sediment entering the diversion channels through using Artificial Neural Network and ANSYS-CFX Software

 
 
Author(s):  karimi sohrab*, KARAMI HOJAT, esfandyari javad
 
* 
 
Abstract: 
Intakes are one of the varied types of channel and river-water-intake structures. The experimental model is first simulated through ANSYS-CFX software. The verification results indicate that the results of the numerical model correspond fairly well to the results of the experimental model. using a set of experimental data and a numerical model, an artificial neural network has been designed to predict the velocity field within 30, 60 and 90 degrees deviation angles. The comparison shows that the ANN model has an acceptable level of accuracy in predicting the velocity field of the flow. The sediment flow of the experimental model was then numerically simulated with regard to the results in order to examine the sedimentation of the flow. Among the main parameters which affect the flow, the effects of diversion angles, intake discharge ratio were examined on the ratio of the sediment entering the weir and they were compared with the experimental results. The results were fairly consistent. In a constant diversion ration, the ratio of the sediment entering the weir increases as the diversion angle increases and the amount of the sediment entering the weir increases as the intake discharge ratio increases due to the increase in the velocity while the flow depth is constant and the sediments are being increasingly transferred in the weir. Also, as the intake Froude number increases, the ratio of the sediment entering the channel decrease for a constant intake discharge.
 
Keyword(s): Intake,ANSYS-CFX software,Artificial Neural Network,Velocity field,Sediment flow
 
References: 
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