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    Uncertainties in Models Predicting Critical Bed Shear Stress of Cohesionless Particles

    Source: Journal of Hydraulic Engineering:;2023:;Volume ( 149 ):;issue: 004::page 04023002-1
    Author:
    Emeline Perret
    ,
    Benoit Camenen
    ,
    Céline Berni
    ,
    Kamal El kadi Abderrezzak
    ,
    Benjamin Renard
    DOI: 10.1061/JHEND8.HYENG-13101
    Publisher: American Society of Civil Engineers
    Abstract: Our data show large scatter in the critical Shields stress values for initial sediment motion. The main sources of dispersion are related to the methodological procedures defining the inception of movement (i.e., visual observations or extrapolation of sediment transport rate) and to the estimation of the bed shear stress. The threshold for sediment motion varies with many factors related not only to grain size but also to bed composition (e.g., presence of fine sediments in a coarse matrix), arrangement (e.g., bed roughness, grain orientation, and characteristic lengths of bed structures) and slope. New models to estimate the critical Shields number are proposed using grain size or bed slope or a combination of both. Model parameters and uncertainty are estimated through Bayesian inference using prior knowledge of these parameters and measured data. Apart from the uncertainty in observations, two types of uncertainty can be evaluated: one related to the parameter estimation (i.e., parametric) and one related to the choice of the model (i.e., structural). Finally, a four-parameter model based on the grain size and bed slope yields the best results and demonstrates potential interaction between these two parameters. Model uncertainty, however, remains large, which indicates that other input parameters may be needed to improve the proposed model.
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      Uncertainties in Models Predicting Critical Bed Shear Stress of Cohesionless Particles

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    contributor authorEmeline Perret
    contributor authorBenoit Camenen
    contributor authorCéline Berni
    contributor authorKamal El kadi Abderrezzak
    contributor authorBenjamin Renard
    date accessioned2023-08-16T19:05:44Z
    date available2023-08-16T19:05:44Z
    date issued2023/04/01
    identifier otherJHEND8.HYENG-13101.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292743
    description abstractOur data show large scatter in the critical Shields stress values for initial sediment motion. The main sources of dispersion are related to the methodological procedures defining the inception of movement (i.e., visual observations or extrapolation of sediment transport rate) and to the estimation of the bed shear stress. The threshold for sediment motion varies with many factors related not only to grain size but also to bed composition (e.g., presence of fine sediments in a coarse matrix), arrangement (e.g., bed roughness, grain orientation, and characteristic lengths of bed structures) and slope. New models to estimate the critical Shields number are proposed using grain size or bed slope or a combination of both. Model parameters and uncertainty are estimated through Bayesian inference using prior knowledge of these parameters and measured data. Apart from the uncertainty in observations, two types of uncertainty can be evaluated: one related to the parameter estimation (i.e., parametric) and one related to the choice of the model (i.e., structural). Finally, a four-parameter model based on the grain size and bed slope yields the best results and demonstrates potential interaction between these two parameters. Model uncertainty, however, remains large, which indicates that other input parameters may be needed to improve the proposed model.
    publisherAmerican Society of Civil Engineers
    titleUncertainties in Models Predicting Critical Bed Shear Stress of Cohesionless Particles
    typeJournal Article
    journal volume149
    journal issue4
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/JHEND8.HYENG-13101
    journal fristpage04023002-1
    journal lastpage04023002-13
    page13
    treeJournal of Hydraulic Engineering:;2023:;Volume ( 149 ):;issue: 004
    contenttypeFulltext
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