| Project/Area Number |
11450384
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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 | 一般 |
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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, Graduate School of Engineering, Professor, 大学院・工学研究院, 教授 (10112301)
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| Co-Investigator(Kenkyū-buntansha) |
YAMAGUCHI Satoru Kyushu University, RIAM, Research Associate, 応用力学研究所, 助手 (00253542)
ISEKI Toshio Tokyo Univ. of Mercantile, Merchant Marine, Associate Professor, 商船学部, 助教授 (70212959)
KAJIWARA Hiroyuki Kyushu University, Graduate School of Engineering, Professor, 大学院・工学研究院, 教授 (30114862)
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| Project Period (FY) |
1999 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥11,400,000 (Direct Cost: ¥11,400,000)
Fiscal Year 2001: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2000: ¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 1999: ¥8,000,000 (Direct Cost: ¥8,000,000)
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| Keywords | Sea-Margin / Probability Theory / Propeller Racing / Deck wetness / Satellite Information / Wave frequency / Ship motions / High-speed boat / 衛星情報 / 波浪発現確率 / 長期波浪発現確率 / 実船実験 |
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| Research Abstract |
This research project deals with the statistical prediction of sea-margin because of seasonal effect (wind and waves) in the case the sea-margin is represented by means of speed loss due to weather. The estimating method of speed loss is discussed on the basis of the quasi-probability theory from the viewpoint of propeller racing and deck wetness. The essential algorithm of the statistical prediction for propeller racing and deck wetness are reconstructed by using the probabilistic procedure of time lasting period during which random variable exceeds a value. The algorithms are set up to build the estimating method of speed loss.
On the basis of the algorithms, a series of numerical calculations are executed for 150m class container ships with multi-screw propellers. The long-term statistical trend of ship responses (propeller racing, deck wetness etc.) in ocean waves are examined by using satellite information wave data. And a series of experiments are executed with a high-speed boat (Kyushu University fisheries research ship) at sea in order to survey an appraisal of the algorithms.
It is certified that the ship responses (propeller racing, deck wetness, ship accelerations etc.) are predicted. However, it is slightly difficult to combine both estimating algorithm of speed loss and the algorithms (propeller racing, deck wetness) for the reason of complexity of those. Further investigations for reconstruction of the algorithms are necessary to estimate sea-margin.
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