1987 Fiscal Year Final Research Report Summary
A Study of Improving the Prediction Accuracy of Ship Motins in Oblique Following Waves
| Project/Area Number |
60420037
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| Research Category |
Grant-in-Aid for General Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
船舶抵抗・運動性能・計画
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| Research Institution | The University of Tokyo |
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Principal Investigator |
FUJINO Masataka Professor, Faculty of Engineering, University of Tokyo, 工学部, 教授 (10010787)
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| Co-Investigator(Kenkyū-buntansha) |
SUMIHIRO EGUCHI Assistant, Faculty of Engineering, University of Tokyo, 工学部, 助手 (00013201)
MASASHIRO KOYANAGI Assistant, Faculty of Engineering, University of Tokyo, 工学部, 助手 (10010886)
TOICHI FUKASAWA Assistant Professor, Faculty of Engineering, Univ. of Tokyo, 工学部, 助教授 (80143171)
HIDEOMI OHTSUBO Professor, Faculty of Engineering, University of Tokyo, 工学部, 教授 (20011132)
TAKEO KOYAMA Professor, Faculty of Engineering, University of Tokyo, 工学部, 教授 (10010696)
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| Project Period (FY) |
1985 – 1987
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| Keywords | Strip Method / Ship motions in following waves / 波浪強制力 |
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| Research Abstract |
The main aim of the present research is to improve the prediction accuracy of ship motions in oblique following waves. For that purpose, a new theoretical method of predicting the wave exciting forces acting on a ship travelling in the following waves was developed taking account of three-dimensionality of fluid motion around the ship.
Besides, the radiation forces, that is to say, the added mass and damping forces and moments due to wave-making were calculated ina similar manner taking into account the three-dimensionality of fluid motion. Making use of both numerical results of radiation forces and diffraction forces, the lateral motions, that is to say, sway, yaw, and roll of a ship travelling in the following waves were calculated and compared with the experimental results of free-sailing model tests.
As the result, it was found that the present method can provide the numerical prediction of lateral motions which is more accurate than those predicted by the so-called Strip Method.
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