Technical Papers
Dec 4, 2020

Numerical Study of Roll Wave Characteristics Based on Navier-Stokes Equations: A Two-Dimensional Simulation

Publication: Journal of Engineering Mechanics
Volume 147, Issue 2

Abstract

Roll waves are frequently observed in the spillway chutes of hydropower stations, flood discharge channels, and diversion canals. In order to understand the physical characteristics of roll waves in detail, a full two-dimensional numerical model based on the Reynolds-averaged Navier-Stokes equation with the renormalized group k-ε turbulence model and a volume of fluid technique is established to simulate the evolution of the roll wave. A series of periodic roll waves generated by different combinations of slopes and discharges is successfully simulated, which compares well with the famous Brock’s roll wave experiments. Compared with the traditional study by the Saint-Venant equations, the distribution characteristics of roll waves, such as flow velocity and turbulent kinetic energy, are obtained. Simulated results show that the turbulent effect is not evenly distributed and may play an important role in roll wave generation and evolution. Further, an additional parameter examination shows the roll wave amplitude ratio and wave speed decrease with the increase of the fluid viscosity. These detailed flow structures of roll waves might be helpful in understanding the physical mechanism of roll waves and the spillway design and bed erosion study.

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Data Availability Statement

All data, models, and code generated or used during the study are available from the corresponding author by request.

Acknowledgments

The research is financially supported by the National Natural Science Foundation of China (Nos. 12032005, 11872117, and 11602278).

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 147Issue 2February 2021

History

Received: Mar 1, 2020
Accepted: Oct 2, 2020
Published online: Dec 4, 2020
Published in print: Feb 1, 2021
Discussion open until: May 4, 2021

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Authors

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Ph.D. Candidate, Dept. of Mechanics, School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China. Email: [email protected]
Xiaoliang Wang [email protected]
Assistant Professor, Dept. of Mechanics, School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China. Email: [email protected]
Professor, Dept. of Mechanics, School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China (corresponding author). ORCID: https://orcid.org/0000-0002-4472-6626. Email: [email protected]

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