Research for a New Stochastic Long-term Wave Model and it's Application
| Project/Area Number |
09555310
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
船舶工学
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| Research Institution | KYUSHU UNIVERSITY |
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Principal Investigator |
SHINKAI Akiji Kyushu University, Fac.of Eng., Professor, 工学部, 教授 (10112301)
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| Co-Investigator(Kenkyū-buntansha) |
YAMAGUCHI Satoru Kyushu University, RIAM,Research Assoc., 応用力学研究所, 助手 (00253542)
ISEKI Toshio Tokyo Univ.of Mercantile M., A.Professor, 商船学部, 助教授 (70212959)
TOKI Naoji MHI,Nagasaki Research C., Vice-Director, 長崎研究所, 研究所次長
NAITO Shigeru Osaka University, Fac.of Eng., Professor, 工学部, 教授 (20093437)
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| Project Period (FY) |
1997 – 1998
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| Project Status |
Completed (Fiscal Year 1998)
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| Budget Amount *help |
¥9,100,000 (Direct Cost: ¥9,100,000)
Fiscal Year 1998: ¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 1997: ¥6,700,000 (Direct Cost: ¥6,700,000)
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| Keywords | wave statistical data / long-term predictions / ship responses / joint distr.of H and T / 波高と波周期の結合確率密度関数 / 北太平洋 |
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| Research Abstract |
This research project discussed the probability on reconstruction of the essential algorithm of the long-term prediction by using a new wave stochastic model. The model is a rational long-term stochastic model for calculating the long-term statistics of sea waves which was proposed by G.A.Athanassoulis et al.
On the basis of the same framework of treating the wave climate as a stochastic model, the algorithm for the long-term statistical prediction of ship responses in ocean waves was examined. And it was also improved for purpose of using the combination of some long-term wave frequency data that had been presented with some differences in data format. Meanwhile this project made its algorithm clearly by a proposed simple combination method of wave statistical data with some differences in format, especially the differences in wave data collecting period. And then comparing with reference to the long-term prediction results, it shows that it is possible to obtain more reliable long-term estimates by such a simple combination method for wave data, which based on the methodology of new stochastic model.
The long-term predictions of wave loads and some ship responses (propeller racing, deck wetness, ship accelerations etc.) was executed for a few patterns of combination of wave data, and further investigations for reconstruction of the algorithm was discussed.
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Report
(3 results)
Research Products
(8 results)
