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    Depth-Averaged von Kármán Coefficient in Sediment-Laden Flows Using a Turbulent Kinetic Energy Balance

    Source: Journal of Hydraulic Engineering:;2020:;Volume ( 146 ):;issue: 004
    Author:
    Xiaohui Chen
    ,
    Minxi Zhang
    ,
    Guoliang Yu
    DOI: 10.1061/(ASCE)HY.1943-7900.0001713
    Publisher: ASCE
    Abstract: Precise prediction of bed shear stress (τ0) and velocity profile in open channels is critical in various applications. This paper deliberates on the depth-averaged von Kármán coefficient in sediment-laden flows based on the turbulent kinetic energy balance. Based on the conservation equation for turbulence energy derived in the literature, a densimetric von Kármán coefficient in sediment-laden flows is proposed by modifying the von Kármán coefficient of clear-water flow and incorporating a densimetric Kolmogorov number. Sensitivity analysis of the theoretical bed surface datum to the estimated von Kármán coefficient is also performed. Eighty-two sets of laboratory experiments were conducted to investigate the near-bed velocity distribution for sediment-laden flow using ultrasonic Doppler velocity (UDV). Based on the findings of the study and published data by others, a formula that could be used to calculate the depth-averaged von Kármán coefficient for sediment-laden flow is proposed. Leveraging on this formula, a new velocity distribution relationship for two-dimensional (2D) turbulent sediment-laden flow is also developed. The formula for the depth-averaged densimetric von Kármán coefficient can be obtained when the depth-averaged sediment concentration and sediment density are known. The quality of the predicted velocity distribution had been tested with others and found to produce a good estimate of turbulent velocity profiles with suspended sediments.
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      Depth-Averaged von Kármán Coefficient in Sediment-Laden Flows Using a Turbulent Kinetic Energy Balance

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    contributor authorXiaohui Chen
    contributor authorMinxi Zhang
    contributor authorGuoliang Yu
    date accessioned2022-01-30T20:38:24Z
    date available2022-01-30T20:38:24Z
    date issued4/1/2020 12:00:00 AM
    identifier other%28ASCE%29HY.1943-7900.0001713.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266855
    description abstractPrecise prediction of bed shear stress (τ0) and velocity profile in open channels is critical in various applications. This paper deliberates on the depth-averaged von Kármán coefficient in sediment-laden flows based on the turbulent kinetic energy balance. Based on the conservation equation for turbulence energy derived in the literature, a densimetric von Kármán coefficient in sediment-laden flows is proposed by modifying the von Kármán coefficient of clear-water flow and incorporating a densimetric Kolmogorov number. Sensitivity analysis of the theoretical bed surface datum to the estimated von Kármán coefficient is also performed. Eighty-two sets of laboratory experiments were conducted to investigate the near-bed velocity distribution for sediment-laden flow using ultrasonic Doppler velocity (UDV). Based on the findings of the study and published data by others, a formula that could be used to calculate the depth-averaged von Kármán coefficient for sediment-laden flow is proposed. Leveraging on this formula, a new velocity distribution relationship for two-dimensional (2D) turbulent sediment-laden flow is also developed. The formula for the depth-averaged densimetric von Kármán coefficient can be obtained when the depth-averaged sediment concentration and sediment density are known. The quality of the predicted velocity distribution had been tested with others and found to produce a good estimate of turbulent velocity profiles with suspended sediments.
    publisherASCE
    titleDepth-Averaged von Kármán Coefficient in Sediment-Laden Flows Using a Turbulent Kinetic Energy Balance
    typeJournal Paper
    journal volume146
    journal issue4
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)HY.1943-7900.0001713
    page10
    treeJournal of Hydraulic Engineering:;2020:;Volume ( 146 ):;issue: 004
    contenttypeFulltext
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