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    X-Ray Computed Tomography to Measure Bed Density in Sand Transport

    Source: Journal of Hydraulic Engineering:;2022:;Volume ( 148 ):;issue: 012::page 06022017
    Author:
    Corinne Brunelle
    ,
    Pierre Francus
    ,
    Benoît Camenen
    ,
    Carl L. Amos
    ,
    Mathieu Des Roches
    ,
    Emeline Perret
    ,
    Hachem Kassem
    ,
    Louis-Frédéric Daigle
    ,
    Philippe Després
    DOI: 10.1061/(ASCE)HY.1943-7900.0002025
    Publisher: ASCE
    Abstract: This paper reports a new experimental method applying medical X-ray computed tomography (CT) to estimate the bed load in sand transport. A set of current-generated sand ripple experiments were conducted in a small hydraulic flume inserted in the CT scanner. The methodology is based on the measurements of height, velocity, and density of bed forms to estimate bed load. A temporal series of bed topography is first extracted from the CT scan images. The velocity is estimated by tracking the displacement of bed forms from two successive bed topographies. The sand bed density (ρsb) is estimated from the CT scan measurements using a calibration technique. The method measuring ρsb to calculate bed load is validated comparing measurements made with sand traps. The advantages and limitations of the CT method applied to bed-load transport are discussed. Sediment transport is a fundamental physical process in Earth Sciences. It refers to the movement of sediment grains transported by water currents and deposited where or when water flow ends. This cycle seems at first inoffensive but could impact millions of human lives all around the world. River floods, sea-level rise, and storms are likely to modify the landscape of many populated areas located nearby in the next decades. A better understanding of sediment transport processes would greatly benefit our capacity to determine the impact of those extreme events on river and coastal morphology. To achieve this, physical models are used in laboratories to simulate sediment dynamics at a smaller scale. These results help researchers developing numerical models of sediment transport to better predict river dynamics as well as the movement of coastlines. This study is an insight on the application of new laboratory techniques using advanced three-dimensional imaging technique as an effort to contribute to our knowledge of sediment dynamics.
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      X-Ray Computed Tomography to Measure Bed Density in Sand Transport

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4289240
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    contributor authorCorinne Brunelle
    contributor authorPierre Francus
    contributor authorBenoît Camenen
    contributor authorCarl L. Amos
    contributor authorMathieu Des Roches
    contributor authorEmeline Perret
    contributor authorHachem Kassem
    contributor authorLouis-Frédéric Daigle
    contributor authorPhilippe Després
    date accessioned2023-04-07T00:32:25Z
    date available2023-04-07T00:32:25Z
    date issued2022/12/01
    identifier other%28ASCE%29HY.1943-7900.0002025.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289240
    description abstractThis paper reports a new experimental method applying medical X-ray computed tomography (CT) to estimate the bed load in sand transport. A set of current-generated sand ripple experiments were conducted in a small hydraulic flume inserted in the CT scanner. The methodology is based on the measurements of height, velocity, and density of bed forms to estimate bed load. A temporal series of bed topography is first extracted from the CT scan images. The velocity is estimated by tracking the displacement of bed forms from two successive bed topographies. The sand bed density (ρsb) is estimated from the CT scan measurements using a calibration technique. The method measuring ρsb to calculate bed load is validated comparing measurements made with sand traps. The advantages and limitations of the CT method applied to bed-load transport are discussed. Sediment transport is a fundamental physical process in Earth Sciences. It refers to the movement of sediment grains transported by water currents and deposited where or when water flow ends. This cycle seems at first inoffensive but could impact millions of human lives all around the world. River floods, sea-level rise, and storms are likely to modify the landscape of many populated areas located nearby in the next decades. A better understanding of sediment transport processes would greatly benefit our capacity to determine the impact of those extreme events on river and coastal morphology. To achieve this, physical models are used in laboratories to simulate sediment dynamics at a smaller scale. These results help researchers developing numerical models of sediment transport to better predict river dynamics as well as the movement of coastlines. This study is an insight on the application of new laboratory techniques using advanced three-dimensional imaging technique as an effort to contribute to our knowledge of sediment dynamics.
    publisherASCE
    titleX-Ray Computed Tomography to Measure Bed Density in Sand Transport
    typeJournal Article
    journal volume148
    journal issue12
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)HY.1943-7900.0002025
    journal fristpage06022017
    journal lastpage06022017_7
    page7
    treeJournal of Hydraulic Engineering:;2022:;Volume ( 148 ):;issue: 012
    contenttypeFulltext
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