The Effect of Short-term Variability of Cross-Spectral Analysis on Wave Buoy Analogy

Yanfei Hong, Toshio Iseki, Ulrik Dam Nielsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    The short-term variability of cross-spectral analyses is investigated and its effect on the wave buoy analogy is analysed. Based on the analogy, the sea state can be estimated from the cross-spectra of the ship response, i.e. ship as a wave buoy. In a steady state condition, a certain length of sampled data is required for stable results of the spectral analysis. However, the phase lag between responses, in terms of the phase angle obtained from the coupled cross-spectra, has not been discussed in detail. In a previous study, the authors pointed out that the short-term variability of the relative phase angle of the cross-spectra might be harmful to sea state estimation using the wave buoy analogy. In this paper, using long stationary time series, the transition of estimated wave parameters has been investigated by iterative analyses with a few seconds of time shifting. In the results, the short-term variability of the wave parameters was observed, and the effect was clarified.
    Original languageEnglish
    Title of host publicationProceedings of the 28th (2019) International Ocean and Polar Engineering Conference
    Number of pages8
    PublisherInternational Society of Offshore & Polar Engineers
    Publication date2019
    ISBN (Electronic)978-1-880653-85-2
    Publication statusPublished - 2019
    Event29th International Offshore and Polar Engineering Conference (ISOPE-2019) - Honolulu, United States
    Duration: 16 Jun 201921 Jun 2019

    Conference

    Conference29th International Offshore and Polar Engineering Conference (ISOPE-2019)
    Country/TerritoryUnited States
    CityHonolulu
    Period16/06/201921/06/2019
    SeriesProceedings of the International Offshore and Polar Engineering Conference
    ISSN1098-6189

    Keywords

    • Short-term variability
    • Cross-spectral analysis
    • Wave buoy analogy
    • Bayesian modelling
    • Relative phase

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