Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-26T19:07:54.005Z Has data issue: false hasContentIssue false

A High-Order Numerical Method to Study Three-Dimensional Hydrodynamics in a Natural River

Published online by Cambridge University Press:  23 March 2015

Luyu Shen
Affiliation:
College of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Changgen Lu*
Affiliation:
College of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Weiguo Wu
Affiliation:
Department of Engineering Mechanics, China University of Petroleum, Dongying 266555, China
Shifeng Xue
Affiliation:
Department of Engineering Mechanics, China University of Petroleum, Dongying 266555, China
*
*Corresponding author. Email: [email protected] (L. Shen), [email protected] (C. Lu), [email protected] (W. Wu), [email protected] (S. Xue)
Get access

Abstract

A high-order numerical method for three-dimensional hydrodynamics is presented. The present method applies high-order compact schemes in space and a Runge-Kutta scheme in time to solve the Reynolds-averaged Navier-Stokes equations with the k-ε turbulence model in an orthogonal curvilinear coordinate system. In addition, a two-dimensional equation is derived from the depth-averaged momentum equations to predict the water level. The proposed method is first validated by its application to simulate flow in a 180° curved laboratory flume. It is found that the simulated results agree with measurements and are better than those from SIMPLEC algorithm. Then the method is applied to study three-dimensional hydrodynamics in a natural river, and the simulated results are in accordance with measurements.

Type
Research Article
Copyright
Copyright © Global-Science Press 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1]Papanicolaou, A. N., Elhakeem, M. and Krallis, G.et al., Sediment transport modeling review-current and future developments, J. Hydraul. Eng., 134 (2008), pp. 114.CrossRefGoogle Scholar
[2]Demuren, A. O. and Rodi, W., Calculation of flow and pollutant dispersion in meandering channels, J. Fluid. Mech., 172 (1986), pp. 6392.CrossRefGoogle Scholar
[3]Ye, J. and Mccorquodale, J. A., Simulation of curved open channel flows by 3D hydrodynamic model, J. Hydraul. Eng., 124 (1998), pp. 687698.CrossRefGoogle Scholar
[4]Wu, W., Rodi, W. and Wenka, T., 3D numerical modeling of flow and sediment transport in open channels, J. Hydraul. Eng., 126 (2000), pp. 415.CrossRefGoogle Scholar
[5]Rüther, N. and Olsen, N. R., Three-dimensional modeling of sediment transport in a narrow 90? channel bend, J. Hydraul. Eng., 131 (2005), pp. 917920.CrossRefGoogle Scholar
[6]Zhang, M. L. and Shen, Y. M., Application of 3-D RNG k-ε turbulence model of meandering river, J. Hydroelec. Eng., 26 (2007), pp. 8691 (in Chinese).Google Scholar
[7]Khosronejad, A., Rennie, C. D. and Salehi Neyshabouri, S. A. A.et al., 3D numerical modeling of flow and sediment transport in laboratory channel bends, J. Hydraul. Eng., 133 (2007), pp. 11231134.CrossRefGoogle Scholar
[8]Feurich, R. and Olsen, N. R. B., Three-dimensional modeling of nonuniform sediment transport in an S-shaped channel, J. Hydraul. Eng., 137 (2011), pp.495495.CrossRefGoogle Scholar
[9]Zeng, J., Constantinescu, G. and Weber, L., A 3D non-hydrostatic model to predict flow and sediment transport in loose-bed channel bends, J. Hydraul. Res., 46 (2008), pp. 356372.CrossRefGoogle Scholar
[10]Lele, S. K., Compact finite difference schemes with spectral-like resolution, J. Comput. Phys., 103 (1992), pp. 1642.CrossRefGoogle Scholar
[11]Pereira, J. M. C., Kobayashi, M. H. and Pereira, J. C. F., A fourth-order-accurate finite volume compact method for the incompressible Navier-Stokes solutions, J. Comput. Phys., 167 (2001), pp. 217243.CrossRefGoogle Scholar
[12]Hokpunna, A. and Manhart, M., Compact fourth-order finite volume method for numerical solutions of Navier-Stokes equations on staggered grids, J. Comput. Phys., 229 (2010), pp. 75457570.CrossRefGoogle Scholar
[13]Elhami, A. A., Kazemzadeh, H. S. and Mashayek, F., Evaluation of a fourth-order finite-volume compact scheme for LES with explicit filtering, Numer. Heat. Tr. B-Fund., 48 (2005), pp. 147163.CrossRefGoogle Scholar
[14]Nagarajan, S., Lele, S. K. and Ferziger, J. H., A robust high-order compact method for large eddy simulation, J. Comput. Phys., 191 (2003), pp. 392419.CrossRefGoogle Scholar
[15]Fu, D. and Ma, Y., A high order accurate difference scheme for complex flow fields, J. Comput. Phys., 134 (1997), PP. 115.CrossRefGoogle Scholar
[16]De Vriend, H. J., A mathematical model of steady flow in curved shallow channels, J. Hydraul. Res., 15 (1977), pp. 3754.CrossRefGoogle Scholar
[17]Noat, D., Response of channel flow to roughness heterogeneity, J. Hydraul. Eng., 110 (1984), pp. 15681587.CrossRefGoogle Scholar
[18]Lu, C., Cao, W. and Zhang, Y.et al., Large eddies induced by local impulse at wall of boundary layer with pressure gradients, Prog. Nat. Sci., 18 (2008), pp. 873878.CrossRefGoogle Scholar
[19]Harlow, F. H. and Welch, J. E., Numerical calculation of time-dependent viscous incompressible flow of fluid with free surface, Phys. Fluids., 8 (1965), pp. 2182.CrossRefGoogle Scholar