Validation of Theoretical Estimation Methods and Maximum Value Distribution Calculation for Parametric Roll Amplitude in Long-Crested Irregular Waves
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910511105310720 |
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| author | Katsumura, Keiji Dostal, Leo Kono, Taiga Maruyama, Yuuki Sakai, Masahiro Maki, Atsuo |
| author_facet | Katsumura, Keiji Dostal, Leo Kono, Taiga Maruyama, Yuuki Sakai, Masahiro Maki, Atsuo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_02728 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Validation of Theoretical Estimation Methods and Maximum Value Distribution Calculation for Parametric Roll Amplitude in Long-Crested Irregular Waves Katsumura, Keiji Dostal, Leo Kono, Taiga Maruyama, Yuuki Sakai, Masahiro Maki, Atsuo Fluid Dynamics Dynamical Systems Atmospheric and Oceanic Physics Data Analysis, Statistics and Probability 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. |
| title | Validation of Theoretical Estimation Methods and Maximum Value Distribution Calculation for Parametric Roll Amplitude in Long-Crested Irregular Waves |
| topic | Fluid Dynamics Dynamical Systems Atmospheric and Oceanic Physics Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2407.02728 |