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    Estimating Long Term Extreme Slamming From Breaking Waves

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2016:;volume( 138 ):;issue: 005::page 51101
    Author:
    Lian, Gunnar
    ,
    Haver, Sverre K.
    DOI: 10.1115/1.4033935
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Characteristic loads for design of offshore structures are defined in terms of their annual exceedance probability, q. In the Norwegian Petroleum Regulations, q = 10−2 is required for the ultimate limit state (ULS), while q = 10−4 is required for the accidental limit state (ALS). In principle, a full longterm analysis (LTA) is required in order to obtain consistent estimates. This is straightforward for linear response problems, while it is a challenge for nonlinear problems, in particular if they additionally are of an on–off nature. The latter will typically be the case for loads due to breaking wave impacts. In this paper, the challenges related to estimation of characteristic slamming loads are discussed. Measured slamming loads from a model test are presented, and the observed large variability is discussed. The stochastic nature of slamming loads is studied using a simplified linear relation between the sea states and the Gumbel distribution parameter surfaces. The characteristic slamming loads with qannual probability of exceedance are estimated from an LTA using the shortterm distribution of the slamming loads and the longterm distribution of the sea states. The effect of integrating over a smaller area of the scatter diagram of the sea states is studied. The uncertainties in response from slamming loads are compared to a more common response process, and the relation between variability and the number of realizations in each sea state is looked into.
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      Estimating Long Term Extreme Slamming From Breaking Waves

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    http://yetl.yabesh.ir/yetl1/handle/yetl/162301
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    • Journal of Offshore Mechanics and Arctic Engineering

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    contributor authorLian, Gunnar
    contributor authorHaver, Sverre K.
    date accessioned2017-05-09T01:32:31Z
    date available2017-05-09T01:32:31Z
    date issued2016
    identifier issn0892-7219
    identifier otheromae_138_05_051101.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/162301
    description abstractCharacteristic loads for design of offshore structures are defined in terms of their annual exceedance probability, q. In the Norwegian Petroleum Regulations, q = 10−2 is required for the ultimate limit state (ULS), while q = 10−4 is required for the accidental limit state (ALS). In principle, a full longterm analysis (LTA) is required in order to obtain consistent estimates. This is straightforward for linear response problems, while it is a challenge for nonlinear problems, in particular if they additionally are of an on–off nature. The latter will typically be the case for loads due to breaking wave impacts. In this paper, the challenges related to estimation of characteristic slamming loads are discussed. Measured slamming loads from a model test are presented, and the observed large variability is discussed. The stochastic nature of slamming loads is studied using a simplified linear relation between the sea states and the Gumbel distribution parameter surfaces. The characteristic slamming loads with qannual probability of exceedance are estimated from an LTA using the shortterm distribution of the slamming loads and the longterm distribution of the sea states. The effect of integrating over a smaller area of the scatter diagram of the sea states is studied. The uncertainties in response from slamming loads are compared to a more common response process, and the relation between variability and the number of realizations in each sea state is looked into.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEstimating Long Term Extreme Slamming From Breaking Waves
    typeJournal Paper
    journal volume138
    journal issue5
    journal titleJournal of Offshore Mechanics and Arctic Engineering
    identifier doi10.1115/1.4033935
    journal fristpage51101
    journal lastpage51101
    identifier eissn1528-896X
    treeJournal of Offshore Mechanics and Arctic Engineering:;2016:;volume( 138 ):;issue: 005
    contenttypeFulltext
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