Numerical and experimental analysis of shallow turbulent flow over complex roughness beds

Yong Zhang; Matteo Rubinato; Ehsam Kazemi; Jaan H. Pu; Yuefei Huang; Pengzhi Lin

doi:10.1080/10618562.2019.1643845

Numerical and experimental analysis of shallow turbulent flow over complex roughness beds

Yong Zhang
, Matteo Rubinato
, Ehsam Kazemi
, Jaan H. Pu
, Yuefei Huang
, Pengzhi Lin^*

^*Corresponding author for this work

Tsinghua University
Coventry University
University of Sheffield
University of Bradford
Sichuan University

Research output: Contribution to journal › Article › peer-review

8 Citations (SciVal)

Abstract

A set of shallow-water equations (SWEs) based on a k−ε Reynold stress model is established to simulate the turbulent flows over a complex roughness bed. The fundamental equations are discretized by the second-order finite-difference method (FDM), in which spatial and temporal discretization are conducted by staggered-grid and leap-frog schemes, respectively. The turbulent model in this study stems from the standard k−ε model, but is enhanced by replacing the conventional vertical production with a more rigorous and precise generation derived from the energy spectrum and turbulence scales. To verify its effectiveness, the model is applied to compute the turbulence in complex flow surroundings (including a rough bed) in an abrupt bend and in a natural waterway. The comparison of the model results against experimental data and other numerical results shows the robustness and accuracy of the present model in describing hydrodynamic characteristics, especially turbulence features on the complex roughness bottom.

Original language	English
Pages (from-to)	202-221
Number of pages	21
Journal	International Journal of Computational Fluid Dynamics
Volume	33
Issue number	5
DOIs	https://doi.org/10.1080/10618562.2019.1643845
Publication status	Published - 24 Jul 2019

Funding

This work was supported by the National Key Research and Development Program of China [grant number 2016YFE0122500], the National Key Basic Research Program of China [973 program, grant numbers 2013CB036401 and 2013CB036402], China Postdoctoral Science Foundation [grant number 2016M591184] and Program of Introducing Talents of Discipline to Universities [grant number BC2018038]

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action
SDG 15 Life on Land

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10.1080/10618562.2019.1643845

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title = "Numerical and experimental analysis of shallow turbulent flow over complex roughness beds",

abstract = "A set of shallow-water equations (SWEs) based on a k−ε Reynold stress model is established to simulate the turbulent flows over a complex roughness bed. The fundamental equations are discretized by the second-order finite-difference method (FDM), in which spatial and temporal discretization are conducted by staggered-grid and leap-frog schemes, respectively. The turbulent model in this study stems from the standard k−ε model, but is enhanced by replacing the conventional vertical production with a more rigorous and precise generation derived from the energy spectrum and turbulence scales. To verify its effectiveness, the model is applied to compute the turbulence in complex flow surroundings (including a rough bed) in an abrupt bend and in a natural waterway. The comparison of the model results against experimental data and other numerical results shows the robustness and accuracy of the present model in describing hydrodynamic characteristics, especially turbulence features on the complex roughness bottom.",

author = "Yong Zhang and Matteo Rubinato and Ehsam Kazemi and Pu, \{Jaan H.\} and Yuefei Huang and Pengzhi Lin",

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AU - Zhang, Yong

AU - Rubinato, Matteo

AU - Kazemi, Ehsam

AU - Pu, Jaan H.

AU - Huang, Yuefei

AU - Lin, Pengzhi

PY - 2019/7/24

Y1 - 2019/7/24

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AB - A set of shallow-water equations (SWEs) based on a k−ε Reynold stress model is established to simulate the turbulent flows over a complex roughness bed. The fundamental equations are discretized by the second-order finite-difference method (FDM), in which spatial and temporal discretization are conducted by staggered-grid and leap-frog schemes, respectively. The turbulent model in this study stems from the standard k−ε model, but is enhanced by replacing the conventional vertical production with a more rigorous and precise generation derived from the energy spectrum and turbulence scales. To verify its effectiveness, the model is applied to compute the turbulence in complex flow surroundings (including a rough bed) in an abrupt bend and in a natural waterway. The comparison of the model results against experimental data and other numerical results shows the robustness and accuracy of the present model in describing hydrodynamic characteristics, especially turbulence features on the complex roughness bottom.

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JO - International Journal of Computational Fluid Dynamics

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Numerical and experimental analysis of shallow turbulent flow over complex roughness beds

Abstract

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