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    LIDAR Observations of Free-Surface Time and Length Scales in Hydraulic Jumps

    Source: Journal of Hydraulic Engineering:;2020:;Volume ( 146 ):;issue: 004
    Author:
    Laura Montano
    ,
    Stefan Felder
    DOI: 10.1061/(ASCE)HY.1943-7900.0001706
    Publisher: ASCE
    Abstract: A hydraulic jump is a complex, rapidly varied flow phenomenon occurring in the transition from supercritical to subcritical flows. Hydraulic jumps are characterized by instationary motions including jump toe oscillations and free-surface fluctuations. A light detection and ranging (LIDAR) instrument was used to continuously record the time-varying free-surface features of fully aerated hydraulic jumps with fully developed inflow conditions and high spatial and temporal resolution. The free-surface features were analyzed with two processing methods considering a freely moving hydraulic jump and a case where each instantaneous hydraulic jump profile was shifted to the mean jump toe position. The results provided detailed dimensionless distributions of the mean profiles, as well as free-surface fluctuations and jump toe oscillations that increased with increasing Froude numbers. The high spatial resolution data provided continuous free-surface time and length scales along the hydraulic jumps. Largest free-surface scales were observed close to the jump toe linked with longitudinal oscillations of the hydraulic jumps, and the dimensionless free-surface scales increased with the Froude number. The present study provides new insights into free-surface turbulent structures, highlighting the strong relationship between jump toe movements and free-surface fluctuations in hydraulic jumps.
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      LIDAR Observations of Free-Surface Time and Length Scales in Hydraulic Jumps

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264998
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    contributor authorLaura Montano
    contributor authorStefan Felder
    date accessioned2022-01-30T19:17:15Z
    date available2022-01-30T19:17:15Z
    date issued2020
    identifier other%28ASCE%29HY.1943-7900.0001706.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264998
    description abstractA hydraulic jump is a complex, rapidly varied flow phenomenon occurring in the transition from supercritical to subcritical flows. Hydraulic jumps are characterized by instationary motions including jump toe oscillations and free-surface fluctuations. A light detection and ranging (LIDAR) instrument was used to continuously record the time-varying free-surface features of fully aerated hydraulic jumps with fully developed inflow conditions and high spatial and temporal resolution. The free-surface features were analyzed with two processing methods considering a freely moving hydraulic jump and a case where each instantaneous hydraulic jump profile was shifted to the mean jump toe position. The results provided detailed dimensionless distributions of the mean profiles, as well as free-surface fluctuations and jump toe oscillations that increased with increasing Froude numbers. The high spatial resolution data provided continuous free-surface time and length scales along the hydraulic jumps. Largest free-surface scales were observed close to the jump toe linked with longitudinal oscillations of the hydraulic jumps, and the dimensionless free-surface scales increased with the Froude number. The present study provides new insights into free-surface turbulent structures, highlighting the strong relationship between jump toe movements and free-surface fluctuations in hydraulic jumps.
    publisherASCE
    titleLIDAR Observations of Free-Surface Time and Length Scales in Hydraulic Jumps
    typeJournal Paper
    journal volume146
    journal issue4
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)HY.1943-7900.0001706
    page04020007
    treeJournal of Hydraulic Engineering:;2020:;Volume ( 146 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian