首页|Numerical modeling of flow in continuous bends from Daliushu to Shapotou in Yellow River

Numerical modeling of flow in continuous bends from Daliushu to Shapotou in Yellow River

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The upper reach of the Yellow River from Daliushu to Shapotou consists of five bends and has complex topography.A two-dimensional Re-Normalisation Group (RNG) k-ε model was developed to simulate the flow in the reach.In order to take the circulation currents in the bends into account,the momentum equations were improved by adding an additional source term.Comparison of the numerical simulation with field measurements indicates that the improved two-dimensional depth-averaged RNG k-ε model can improve the accuracy of the numerical simulation.A rapid adaptive algorithm was constructed,which can automatically adjust Manning's roughness coefficient in different parts of the study river reach.As a result,not only can the trial computation time be significantly shortened,but the accuracy of the numerical simulation can also be greatly improved.Comparison of the simulated and measured water surface slopes for four typical cases shows that the longitudinal and transverse slopes of the water surface increase with the average velocity upstream.In addition,comparison was made between the positions of the talweg and the main streamline,which coincide for most of the study river reach.However,deviations between the positions of the talweg and the main streamline were found at the junction of two bends,at the position where the river width suddenly decreases or increases.

numerical simulationRNG k-ε modelYellow Rivercontinuous bendcirculation flowadaptive algorithm regarding Manning's roughness coefficient

He-fang JING、Chun-guang LI、Ya-kun GUO、Li-jun ZHU、Yi-tian LI

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School of Civil Engineering, Beifang University of Nationalities, Yinchuan 750021, P.R.China

School of Engineering, University of Aberdeen, Aberdeen AB24 3UE, UK

School of Mathematics and Information Science, Beifang University of Nationalities,Yinchuan 750021, P.R.China

State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University, Wuhan 430072, P.R.China

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National Natural Science Foundation of ChinaNatural Science Foundation of Ningxia,ChinaProject of Beifang University of Nationalities,ChinaForeign Expert Project of Beifang University of Nationalities,ChinaVisiting Scholar Foundation of State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,C

11361002 and 91230111NZ130862012XZK052013A011

2014

10.3882/j.issn.1674-2370.2014.02.007

水科学与水工程
河海大学

水科学与水工程

CSCDEI
影响因子：0.432
ISSN：1674-2370
年,卷(期)：2014.7(2)
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