• Login
    View Item 
    •   DSpace Home
    • ASME
    • Journal of Offshore Mechanics and Arctic Engineering
    • View Item
    •   DSpace Home
    • ASME
    • Journal of Offshore Mechanics and Arctic Engineering
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Statistical Uncertainty Analysis in Time-Domain Fatigue Assessment of Steel Risers

    Thumbnail
    View/Open
    omae_140_03_031701.pdf (694.6Kb)
    Date
    2018
    Author
    da Costa, Rodrigo C.
    Sagrilo, Luis. V. S.
    Metadata
    Show full item record
    Abstract
    This paper addresses the statistical uncertainty in long-term fatigue damage in offshore structures due to the short-term simulation length used in time domain analysis of stresses. The paper focuses on steel risers applications. A new simulation-based estimator for the variance of the short-term fatigue damage is presented. The proposed estimator is based on a variation of the original nonparametric bootstrap. It works with blocks of data instead of discrete values, in order to better account for the autocorrelation of the stress cycles in the stress time series. This versatile estimator can be applied in time-domain fatigue analyses to assess the variance of the fatigue damage using a single stress time series and does not require any previous assumptions on the stochastic stress process.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4252659
    Collections
    • Journal of Offshore Mechanics and Arctic Engineering

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV