Validation of theoretical estimation methods and maximum value distribution calculation for parametric roll amplitude in long-crested irregular waves

Abstract Parametric rolling is a parametric excitation phenomenon caused by GM variation in waves. There are a lot of studies of the estimation the conditions, the occurrence, and the amplitude of parametric rolling. On the other hand, there are relatively few cases in which theoretical methods for estimating parametric roll amplitudes in irregular waves have been validated in tank tests. The primary objective of this study is to validate theoretical estimation methods for the parametric roll amplitude in irregular waves and improve their accuracy. First, the probability density functions (PDF) of the parametric roll amplitude obtained from the model ship motion experiment in irregular waves are compared with that obtained from theoretical estimation methods. Second, the method to improve the accuracy of estimation of the roll restoring variation in irregular waves is suggested. Third, the method to estimate the distribution of the maximum amplitude of parametric rolling in irregular waves. As a result, the PDFs of the roll amplitude obtained from the experiments differ from the results of theoretical estimation. After that, by correcting GM variation, the results of theoretical estimation are closer to the experimental results. Moreover, by the theoretical estimation method using the moment equation, the qualitative estimation for the PDF of the maximum roll amplitude is succeeded.

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Publication Details

Journal
Journal of Marine Science and Technology
Published
2024-11-22
DOI
https://doi.org/10.1007/s00773-024-01035-x
Citations
1
Primary Topic
Ship Hydrodynamics and Maneuverability
Type
article
Field-Weighted Citation Impact
0.34

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article

Validation of theoretical estimation methods and maximum value distribution calculation for parametric roll amplitude in long-crested irregular waves

Masahiro Sakai, Yuuki Maruyama, Leo Dostal, Atsuo Maki et al.
1 citations
Journal of Marine Science and Technology
Ship Hydrodynamics and Maneuverability
0.34
article

Validation of theoretical estimation methods and maximum value distribution calculation for parametric roll amplitude in long-crested irregular waves

Masahiro Sakai, Yuuki Maruyama, Leo Dostal, Atsuo Maki, Keiji Katsumura, Taiga Kono
article en
1 citations

Abstract

Abstract Parametric rolling is a parametric excitation phenomenon caused by GM variation in waves. There are a lot of studies of the estimation the conditions, the occurrence, and the amplitude of parametric rolling. On the other hand, there are relatively few cases in which theoretical methods for estimating parametric roll amplitudes in irregular waves have been validated in tank tests. The primary objective of this study is to validate theoretical estimation methods for the parametric roll amplitude in irregular waves and improve their accuracy. First, the probability density functions (PDF) of the parametric roll amplitude obtained from the model ship motion experiment in irregular waves are compared with that obtained from theoretical estimation methods. Second, the method to improve the accuracy of estimation of the roll restoring variation in irregular waves is suggested. Third, the method to estimate the distribution of the maximum amplitude of parametric rolling in irregular waves. As a result, the PDFs of the roll amplitude obtained from the experiments differ from the results of theoretical estimation. After that, by correcting GM variation, the results of theoretical estimation are closer to the experimental results. Moreover, by the theoretical estimation method using the moment equation, the qualitative estimation for the PDF of the maximum roll amplitude is succeeded.

Journal of Marine Science and TechnologyVol. 30(1)
Universität Hamburg (DE), Hamburg University of Technology (DE), The University of Osaka (JP)
Osaka University, Japan Society for the Promotion of Science
Life below water
Openalex Percentile: Top 38%
Ship Hydrodynamics and Maneuverability
0.34
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