Back
 JWARP  Vol.11 No.10 , October 2019
Examination of Computational Precision versus Modeling Complexity for Open Channel Flow with Hydraulic Jump
Abstract: In this work, for flow with a hydraulic jump, the predictive capabilities of popular hydraulic models (HEC-RAS and WSPG) are validated with the published results from the three dimensional Computational Fluid Dynamics (CFD) model (OpenFOAM). The analysis is performed for flows with a Froude number of 6.125 and Reynolds number of 3.54 × 105. While the hydraulic models solve the one-dimensional energy equation, in the CFD model solution of the three dimensional Reynolds averaged Navier-Stokes (RANS) equations, with a turbulence model, is used. As the results indicate, although the hydraulic models can satisfactorily predict the location of the steady-state jump, the length of the hydraulic jump (i.e. distance from the toe of the jump to a location in tail water zone) and other jump characteristics are better simulated by the CFD model. The solution from hydraulic models is sensitive to the channel bottom roughness value.
Cite this paper: II, T. and Rao, P. (2019) Examination of Computational Precision versus Modeling Complexity for Open Channel Flow with Hydraulic Jump. Journal of Water Resource and Protection, 11, 1233-1244. doi: 10.4236/jwarp.2019.1110071.
References

[1]   Bayón, A. and López-Jiménez, P.A. (2015) Numerical Analysis of Hydraulic Jumps Using OpenFOAM. Journal of Hydroinformatics, 17, 662-678.
https://doi.org/10.2166/hydro.2015.041

[2]   Bayón-Barrachina, A., Vallés-Morán, F.J. and López-Jiménez, P.A. (2015) Numerical Analysis and Validation of South Valencia Sewage Collection System Diversion. 36th IAHR World Congress, The Hague, The Netherlands.

[3]   Witt, A., Gulliver, J. and Shen, L. (2013) Bubble Visualization in a Simulated Hydraulic Jump. The Smithsonian/NASA Astrophysics Data System.
http://arxiv.org/pdf/1310.2635v1.pdf

[4]   Bayon, A., Valero, D., García-Bartual, R. and López-Jiménez, P.A. (2016) Performance Assessment of OpenFOAM and FLOW-3D in the Numerical Modeling of a Low Reynolds Number Hydraulic Jump. Environmental Modelling & Software, 80, 322-335.
https://doi.org/10.1016/j.envsoft.2016.02.018

[5]   Castillo, L.G., Carrillo, J.M., Garcia, J.T. and Rodriguez, A.V. (2014) Numerical Simulations and Laboratory Measurements in Hydraulic Jumps. 11th International Conference on Hydroinformatics, HIC 2014, New York City, 345 p.
http://academicworks.cuny.edu/cc_conf_hic/345

[6]   Romagnoli, M., Portapila, M. and Morvan, H. (2009) Computational Simulation of a Hydraulic Jump. Mecánica Computacional, 28, 1661-1672.

[7]   Martins, R., Leandro, J. and Carvalho, R.F. (2014) Characterization of the Hydraulic Performance of a Gully under Drainage Conditions. Water Science & Technology, 69, 2423-2430.
https://doi.org/10.2166/wst.2014.168

[8]   Lopes, P., Leandro, J., Carvalho, R.F., Russo, B. and Gómez, M. (2016) Assessment of the Ability of a Volume of Fluid Model to Reproduce the Efficiency of a Continuous Transverse Gully with Grate. Journal of Irrigation and Drainage Engineering, 142.
https://doi.org/10.1061/(ASCE)IR.1943-4774.0001058

[9]   Egea, M.L. (2015) Experimental and Numerical Modelling of Submerged Hydraulic Jumps at Low-Head Dams. Master of Applied Science in Civil Engineering (Water Resources), Department of Civil Engineering Faculty of Engineering, University of Ottawa, Ottawa.

[10]   Teuber, K., Broecker, T., Elsesser, W., Agaoglu, B. and Hinkelmann, R. (2016) Investigation of Flow over a Ground Sill Using OpenFOAM. CMWR 2016, Toronto, Canada.

[11]   Kramer, M.R., Young, Y.L., and Maki, K.J. (2012) Numerical Prediction of the Flow Past a 2-D Planing Plate at Low Froude Number. Ocean Engineering, 70, 110-117.
https://doi.org/10.1016/j.oceaneng.2013.06.004

[12]   Beg, M.N.A., Carvalho, R.F. andLeandro, J. (2018) Effect of Surcharge on Gully-Manhole Flow. Journal of Hydro-Environment Research, 19, 224-236.
https://doi.org/10.1016/j.jher.2017.08.003

[13]   Schulze, L. and Thorenz, C. (2014) The Multiphase Capabilities of the CFD Toolbox Open-Foam for Hydraulic Engineering Applications ICHE. Bundesanstalt für Wasserbau, Hamburg.

[14]   Higuera, P., Lara, J.L. and Losada, I.J. (2014) Three-Dimensional Interaction of Waves and Porous Coastal Structures Using OpenFOAM. Part II: Applications. Coastal Engineering, 83, 259-270.
https://doi.org/10.1016/j.coastaleng.2013.09.002

[15]   OpenFOAM (2019) The Open Source CFD Toolbox User Guide. The Free Software Foundation Inc.

[16]   Launder, B.E. and Sharma, B.I. (1974) Application of the Energy Dissipation Model of Turbulence to the Calculation of Flow Near a Spinning Disc. Letters in Heat and Mass Transfer, 1, 131-137.
https://doi.org/10.1016/0094-4548(74)90150-7

[17]   Wilcox, D.C. (1998) Reassessment of the Scale Determining Equation for Advanced Turbulence Models. AIAA Journal, 26, 1299-1310.
https://doi.org/10.2514/3.10041

[18]   Menter, F.R. (1994) Two-Equation Eddy-Viscosity Turbulence Models for Engineering Applications. AIAA Journal, 32, 269-289.
https://doi.org/10.2514/3.12149

[19]   Pope, S.B. (2000) Turbulent Flows. Cambridge University Press, Cambridge.
https://doi.org/10.1017/CBO9780511840531

[20]   U.S. Army Corps of Engineers (USACE) (2019) HEC-RAS River Analysis System. User’s Manual. Hydrologic Engineering Center. Davis, CA. Version 5.0.7.
https://www.hec.usace.army.mil/software/hec-ras/

[21]   CivilDesign (2019) Water Surface Pressure Gradient for Windows.
https://civildesign.com/products/wspgw-water-surface-pressure-gradient-for-windows

 
 
Top