In this paper, a submerged hydraulic jump is modelled using k–ε and renormalisation group (RNG) turbulent schemes with standard coefficients. The computed results of mean and turbulent flow properties for three different cases of inlet Froude number and submergence ratio are compared with the measured data. The results show that the longitudinal velocity profile and its maximum value in the vertical direction are estimated better by the RNG model. Both schemes overpredict the water surface level within the recirculation zone for higher Froude numbers. The longitudinal velocities in the shear layer near the inlet are overpredicted by the two schemes. The longitudinal extent and the magnitude of reverse velocities are predicted well by both schemes. The vertical profiles of kinetic energy per unit mass are predicted well away from the inlet. Near the inlet the trends are predicted well; however, both the magnitude and the height above the bed at which the maximum kinetic energy occurs are overpredicted. The three-dimensional nature of the flow, especially near the inlet is also shown.
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March 2013
Research Article|
March 01 2013
Turbulence schemes for modelling a submerged hydraulic jump
John P. Raiford, PhD, PE;
John P. Raiford, PhD, PE
Former Graduate Student
Department of Civil Engineering, Clemson University, Clemson, South Carolina, USA
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Abdul A. Khan, PhD, PE, FASCE
Abdul A. Khan, PhD, PE, FASCE
Associate Professor
Department of Civil Engineering, Clemson University, Clemson, South Carolina, USA
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Publisher: Emerald Publishing
Revision Received:
February 06 2011
Accepted:
June 27 2011
Online ISSN: 1755-0785
Print ISSN: 1755-0777
ICE Publishing: All rights reserved
2013
Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics (2013) 166 (1): 40–51.
Article history
Revision Received:
February 06 2011
Accepted:
June 27 2011
Citation
Raiford JP, Khan AA (2013), "Turbulence schemes for modelling a submerged hydraulic jump". Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics, Vol. 166 No. 1 pp. 40–51, doi: https://doi.org/10.1680/eacm.11.00003
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