Comparison of flow pattern in a 60° sharp bend by Using FLUENT Software and Artificial Neural Network , Support Vector Machine Methods

摘要

This paper presents an experimental and numerical study of the flow patterns in a strongly-curved60o open channel bend. Corresponding numerical model is based on the Fluent software and ANN,SVMmethods. The use of artificial intelligence methods and Support vector Machine in different hydraulicsciences has become conventional in recent years. In this study the turbulence model is used to simulateturbulent flow parameters and Compared of flow pattern in a 60° sharp bend by Using FLUENT softwareand ANN, SVM Methods. The results show that , enjoying low error values, the FLUENT model has anacceptable level of consistency with the available experimental results. ANN model can predict velocitypattern 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 theerror value is greater in high- velocity areas (erosion- prone areas) than in low- velocity areas(sedimentation- prone areas). Careful examination of these models will make it clear that both FLUENTand SVM model underestimate and the ANN model overestimates. The error value is very small in thecross sections after the bend in all three models.