Numerical Simulation Of Rectifying Flow Field Technology Used In The Forbay Of Urban Intake Water Pumping Stations

Entering the 21st Century, the government pays more and more attention to the environment protection. So a great deal of large projects about sewage disposal in cities increase greatly, and the urban pump station which is one of the important parts in municipal system projects. However, with the restriction of conditions about planning , terrain and scale in cities, the inlet system of urban pump station is difficulty to be set according to the good inlet hydraulic condition. When the equipments are working, defective flow pattern tend to be likely to occurred in the inlet fore bay of the pump station, which leads to the lower power, lager energy consumption, pump's cavitations and equipments' librations, and the safety and efficiency of the pump will be affected. So researching the improving measures of the flow pattern in fore bay of the pump station can enhance the pump's efficiency and decrease the sediment deposition, and can also have a significant meaning to the operational guidance of pump station and the enhancing economic performance.Recent years, with the development of the technology in hydrodynamic numerical solution and the computational hardware, the research of the 3-dimention turbulent current field in the fore bay of the pump station has been enormously improved and has become a hot spot in this field. Take the intake water pumping stations in Shanghai to get water from the Yangtze River as example,this paper sets up a 3-dimension steady incompressible turbulence flow model based on time averaged N-S equation, and simulates numerically this model by FLUENT , one of hydrodynamic computing softwares based on CFD. The results are compared and the regularity of flow in fore bay is predicted here, which give a design basis for taking proper rectifier measures. Besides, optimum measure can be taken according to the numerical simulation data and the effect can be observed by the numerical simulation for the optimum measure. Finally, this paper compares the simulated data, and validates the rationality and the scientificalness of the numerical simulated calculation.