Numerical Modeling of Compound Channels for Determining Kinetic Energy and Momentum Correction Coefficients Using the OpenFOAM Software

• Autorzy: Mehranfar Nariman , Ghanbari-Adivi Elham

Identyfikatory

DOI

10.2478/heem-2022-0003

• Języki publikacji: EN

Abstrakty

EN

The non-uniformity of the flow velocity distribution in each section of compound channels and in the main channel-floodplain interface area causes errors in estimating water surface profile, flood routing, pollution transfer, and so on. To reduce the impacts of non-uniformity on the exact calculation of kinetic energy and momentum, α and β correction coefficients are used, respectively. However, the determination method of these coefficients is a challenging issue in river engineering. This study used the OpenFOAM Software to determine these coefficients numerically for two laboratory models of compound open channels of which the data are available, using the single-phase pimpleFoam solver to do modeling in the mentioned software and the k-ωSST turbulence model to calculate the flow characteristics. Based on the results, the highest difference (13%) between the results estimated by the software and those obtained from the lab experiments was seen in the low flow depth where the flow left the main channel and entered the floodplain of a very shallow depth, possibly due to the grid generation of this area. This difference decreased as the flow depth increased, and its average was 6.65% for α coefficient and 2.32% for β coefficient in all cases, which means the results of numerical modeling and the experimental data conformed well, and the OpenFOAM software can be successfully used in flow modeling and analyzing flow characteristics in compound channels.

Słowa kluczowe

EN

compound channel; floodplain; OpenFOAM; SST turbulence models; correction coefficient; kinetic energy; momentum

• Wydawca: Institute of Hydro-Engineering of Polish Academy of Sciences
• Czasopismo: Archives of Hydro-Engineering and Environmental Mechanics
• Rocznik: 2022
• Tom: Vol. 69, nr 1
• Strony: 27--43
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Mehranfar Nariman

• Department of Civil Engineering, Amirkabir University of TechnologyTehran

autor

Ghanbari-Adivi Elham

• Department of Water Science Engineering, Shahrekord UniversityShahrekord

Bibliografia

• Al-Khatib I. A., Abu-Hassan H. M. Abaza K. A. (2013) Development of empirical regression-based models for predicting mean velocities in asymmetric compound channels, Flow Measurement and Instrumentation, 33, 77–87.
• An K., Fung J. C. H. (2018) An improved SST k − ω model for pollutant dispersion simulations within an isothermal boundary layer, Journal of Wind Engineering and Industrial Aerodynamics, 179, 369–384.
• Boussinesq J. (1877) On the theory of flowing waters, Paris.
• Chow V. T. (1951) Open-Channel Hydraulics, McGrawHill, New York.
• Coriolis G. (1836) On the Backwater-curve equation and the corrections to bBe introduced to account for the difference of the velocities at different points on the same cross section, Annales des Ponts et Chaussées, 11 (1), 314–335.
• Fernandes J. N. (2013) Compound channel uniform and non-uniform flows with and without vegetation in the floodplain, Doctoral dissertation.
• French R. H. (1987) Open-Channel Hydraulics, McGrawHill, Singapore, 2nd edition.
• Ghanbari-Adivi E. (2020) Compound Channel’s Cross-section Shape Effects on the Kinetic Energy and Momentum Correction Coefficients, Archives of Hydro-Engineering and Environmental Mechanics, 67 (1–4), 55–71, https://doi.org/10.1515/heem-2020-0004.
• Hellsten A. (1998) Some improvements in Menter’s k-omega SST turbulence model, 29th AIAA, Fluid Dynamics Conference, p. 2554.
• Knight D. W., Demetriou J. D., Hamed M. E. (1984) Stage discharge relationships for compound channels, [In:] Smith KVH (ed) Channels and channel control structures, Springer, Berlin, pp. 445–459.
• Manokaran K., Ramakrishna M., Jayachandran T. (2020) Application of flux vector splitting methods with SST turbulence model to wall-bounded flows, Computers & Fluids, 208, p. 104611, https://doi.org/10.1016/j.compfluid.2020.104611.
• Menter F. R. (1992) Influence of freestream values on k − ω turbulence model predictions, AIAA Journal, 30 (6), 1657–1659.
• Menter F. R. (1993) Zonal two-equation k − ω turbulence model for aerodynamic flows, AIAA Paper 1993-2906.
• Menter F. R. (2009) Review of the shear-stress transport turbulence model experience from an industrial perspective, International Journal of Computational Fluid Dynamics, 23(4), 305–316.
• Menter F. R., Kuntz M., Langtry R. (2003) Ten years of industrial experience with the SST turbulence model, Turbulence, heat and mass transfer, 4 (1), 625–632.
• Mohanty P. K., Khatua K. K. (2014) Estimation of discharge and its distribution in compound channels, Journal of Hydrodynamics, 26 (1), 144–154.
• Penttinen O., Yasari E., Nilsson H. (2011) A pimplefoam tutorial for channel flow, with respect to different LES models, Practice Periodical on Structural Design and Construction, 23 (2), 1–23.
• Piomelli U. (1993) High Reynolds number calculations using the dynamic subgrid-scale stress model, Physics of Fluids A: Fluid Dynamics, 5 (6), 1484–1490.
• Rusche H. (2002) Computational Fluid Dynamics of Dispersed Two-Phase Flows at High Phase Fractions, Ph.D. thesis, Imperial College, University of London.
• Sagaut P. (2006) Large Eddy Simulation for Incompressible Flows: An Introduction, Second Edition, Verlag Berlin Heidelberg New York: Springer Science & Business Media.
• Shiono K., Rameshwaran P. (2015) Mathematical modeling of Bed shear stress and depth averaged velocity for emergent vegetation on floodplain in compound channel, E-Proceedings of the 36th IAHR World Congress 28 June –3 July, 2015, The Hague, the Netherlands.
• Versteeg H., Malalasekera W. (2007) An Introduction to Computional Fluid Dynamics: The Finite Volume Method, Second Edition, England: Pearson Education Limited.
• Warner J. C., Sherwood C. R., Arango H. G., Signell R. P. (2005) Performance of four turbulence closure models implemented using a generic length scale method, Ocean Modelling, 8 (1–2), 81–113.
• White F. M. (1979) Fluid mechanics, Google Scholar, 367–375.
• Zahiri A. P., Roohi E. (2019) Anisotropic minimum-dissipation (AMD) subgrid-scale model implemented in OpenFOAM: verification and assessment in single-phase and multi-phase flows, Computers & Fluids, 180, 190–205, https://doi.org/10.1016/j.compfluid.2018.12.011.