Simulation of flow pattern in intake by using a numerical model | ||
| Water Harvesting Research | ||
| مقاله 3، دوره 2، شماره 1، خرداد 2017، صفحه 24-36 اصل مقاله (2.67 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22077/jwhr.2017.593 | ||
| نویسندگان | ||
| Reza Babagoli Sefidkoohi1؛ Ali Shahidi* 2؛ Yousef Ramezani3؛ Mehdi Kahe4 | ||
| 1M.Sc. Graduate, Water Engineering Department, University of Birjand | ||
| 2Associate Professor, Water Engineering Department, University of Birjand | ||
| 3Assistant Professor, Water Engineering Department, University of Birjand | ||
| 4Ph.D. Graduate, Hydraulic Structures Department, Shahid Chamran University of Ahvaz | ||
| چکیده | ||
| Lateral intake is a structure constructed next to a main channel to divert part of the flow within the channel. The separated area of the flow in the entrance of intake channel has no effect on flow discharge while reduces the effective cross-sectional area of the intake, as well as the bed load, which enters the intake due to low velocity flow deposits in this area. Thus, knowing the dimensions of the separated area at the intake channel entrance is particularly important. In this study, flow separation zone was calculated at the intake entrance of 90 degree in three depths of 3, 6, and 12 cm from the bottom of the channel for discharge ratios of 0.2 and 0.4, 0.6 and 0.8 in five turbulence models using three-dimensional Flow-3D model. In order to determine the accuracy of the model in predicting the dimensions of the separated areas, the obtained results were compared with the results of the physical model. Streamlines were drawn and dimensions of the separated areas were determined. In comparing results between the laboratory observations and the predicted ones by numerical model, Reynolds Normal Group model (RNG) had better predictions, with a correlation coefficient of 0.97, root mean square error of 3.16, and a mean absolute error of 2.3 cm, than other turbulence models. | ||
| کلیدواژهها | ||
| Intake 90°؛ Flow pattern؛ Turbulence models؛ Flow-3D numerical model؛ Laboratory observations | ||
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آمار تعداد مشاهده مقاله: 1,958 تعداد دریافت فایل اصل مقاله: 1,078 |
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