Chinese Journal of Ship Research, Volume. 20, Issue 2, 196(2025)

Extreme value prediction of the roll motion under random seas

Jie ZHU1, Zailiang LIU1,2, Yan LIN1, and Wei CHAI2
Author Affiliations
  • 1Zhejiang International Maritime College, Zhoushan 316021, China
  • 2School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
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    Objective

    In this work, two stability failure models, i.e., the dead ship condition and parametric roll are selected in order to study and evaluate ship stability as well as safety at seas.

    Methods

    Specifically, roll motion equations are established for the dead ship condition and the parametric roll condition, respectively. Subsequently, these equations are coupled with the linear filter, and the roll responses time histories under time random seas are obtained by solving the coupled equations using the Runge Kutta method. The stochastic process X(t) is defined as the absolute value of the roll response, and the average conditional exceedance rate (ACER) method is employed to predict the extreme value distribution of X(t).

    Results

    The results show that the ACER method can provide effective predictions of the extreme value distributions for the roll response under the dead ship condition and the parametric roll condition. The exceedance probability for the stochastic process X(t) at the critical level (e.g. the flooding angle), can be applied as an effective index to evaluate ship capsizing at seas.

    Conclusion

    Extreme value prediction of the roll motion by application of the ACER method could be an important reference to evaluate ship stability at seas.

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    Jie ZHU, Zailiang LIU, Yan LIN, Wei CHAI. Extreme value prediction of the roll motion under random seas[J]. Chinese Journal of Ship Research, 2025, 20(2): 196

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    Paper Information

    Category: Ship Design and Performance

    Received: Oct. 8, 2023

    Accepted: --

    Published Online: May. 15, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03589

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