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    Analysis of Roll Decay for Surface-Ship Model Experiments With Uncertainty Estimates

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2023:;volume( 008 ):;issue: 003::page 31002-1
    Author:
    Park, Joel T.
    DOI: 10.1115/1.4063010
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Roll decay of David Taylor model basin (DTMB) Model 5720, a 23rd-scale free-running model of the research vessel (R/V) Melville, is evaluated with uncertainty estimates. Experimental roll-decay time series was accurately modeled as an exponentially decaying cosine function, which is the solution of a second-order ordinary differential equation for damping coefficient of less than one (N < 1). The curve-fit provides damping coefficient (N), period (T), and offset. Roll period in calm water was dependent on Froude number (Fr) and initial roll angle (a). Roll decay data are from 76 runs for three nominal Froude numbers, Fr = 0, 0.15, and 0.22. The initial roll angle variation was 3 deg–25 deg. The natural roll period was 2.139 ± 0.041 s (±1.9%). The decay coefficient data were approximated by a plane in three dimensions with Fr and initial roll amplitudes (a) as the independent variables. Curve-fit results are compared to decay coefficient by log decrement and period from time between zero crossings. Examples demonstrate average values for a single roll decay event from log decrement are the same as values by the curve-fitting method within uncertainty estimates. The uncertainty estimate for the decay coefficient is significantly less by curve-fit method in comparison to log-decrement method. By log decrement, the relative uncertainty increases with decreasing roll amplitude peak; consequently, focus should be on the damping coefficient at the largest peaks, where the uncertainty is the smallest.
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      Analysis of Roll Decay for Surface-Ship Model Experiments With Uncertainty Estimates

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    contributor authorPark, Joel T.
    date accessioned2023-11-29T19:49:55Z
    date available2023-11-29T19:49:55Z
    date copyright8/2/2023 12:00:00 AM
    date issued8/2/2023 12:00:00 AM
    date issued2023-08-02
    identifier issn2377-2158
    identifier othervvuq_008_03_031002.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295057
    description abstractRoll decay of David Taylor model basin (DTMB) Model 5720, a 23rd-scale free-running model of the research vessel (R/V) Melville, is evaluated with uncertainty estimates. Experimental roll-decay time series was accurately modeled as an exponentially decaying cosine function, which is the solution of a second-order ordinary differential equation for damping coefficient of less than one (N < 1). The curve-fit provides damping coefficient (N), period (T), and offset. Roll period in calm water was dependent on Froude number (Fr) and initial roll angle (a). Roll decay data are from 76 runs for three nominal Froude numbers, Fr = 0, 0.15, and 0.22. The initial roll angle variation was 3 deg–25 deg. The natural roll period was 2.139 ± 0.041 s (±1.9%). The decay coefficient data were approximated by a plane in three dimensions with Fr and initial roll amplitudes (a) as the independent variables. Curve-fit results are compared to decay coefficient by log decrement and period from time between zero crossings. Examples demonstrate average values for a single roll decay event from log decrement are the same as values by the curve-fitting method within uncertainty estimates. The uncertainty estimate for the decay coefficient is significantly less by curve-fit method in comparison to log-decrement method. By log decrement, the relative uncertainty increases with decreasing roll amplitude peak; consequently, focus should be on the damping coefficient at the largest peaks, where the uncertainty is the smallest.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAnalysis of Roll Decay for Surface-Ship Model Experiments With Uncertainty Estimates
    typeJournal Paper
    journal volume8
    journal issue3
    journal titleJournal of Verification, Validation and Uncertainty Quantification
    identifier doi10.1115/1.4063010
    journal fristpage31002-1
    journal lastpage31002-10
    page10
    treeJournal of Verification, Validation and Uncertainty Quantification:;2023:;volume( 008 ):;issue: 003
    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
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