Numerical simulation of turbulent flow in rivers with continuous bends by 2D RNG k-ε model
A two-dimensional depth averaged RNG k-ε model is developed to simulate the flow in a representative reach of the Upper Yellow River, which consists of seven continuous bends and has complex topography. In order to take the effect of secondary flow into account, the momentum equations are modified by adding an additional source term. The comparison between the numerical simulation and field measurements indicates that the improved two-dimensional depth averaged RNG k-ε model can improve the accuracy of the numerical simulation. An arc spline interpolation method is developed to depict river banks more accurately and more smoothly. The method can also be reasonably applied for two-dimensional interpolation of river bed level. An adaptive rapid algorithm is constructed, which can automatically adjust the roughness coefficient in different parts of the studied river reach. Distributions of water levels at some typical cross-sections are compared with each other. Furthermore, positions of maximum water depth and maximum velocity in a typical bend are researched. In addition, turbulence kinetic energy and turbulence dissipation rate are discussed on some typical cross-sections.
2D RNG k-ε model numerical simulation extra source term arc spline interpolation secondary flow
Hefang Jing Yitian Li
State Key Laboratory of Water Resources and Hydropower Engineering Sciences, Wuhan University, Wuhan State Key Laboratory of Water Resources and Hydropower Engineering Sciences, Wuhan University, Wuhan
国际会议
The 3rd Biennial ISRS Symposium Achieving Healthy and Viable Rivers (ISRS)第3届国际河流大会
北京
英文
342-352
2013-08-05（万方平台首次上网日期，不代表论文的发表时间）