Development of a 6-DOF Dynamic Velocity Prediction Program for offshore racing yachts

被引:5
|
作者
Kerdraon, Paul [1 ,2 ,3 ]
Horel, Boris [2 ,3 ]
Bot, Patrick [4 ]
Letourneur, Adrien [1 ]
Le Touze, David [2 ,3 ]
机构
[1] VPLP Design, 18 Allee Loic Caradec, F-56000 Vannes, France
[2] LHEEA Lab, Ecole Cent Nantes, ECN, 1 Rue Noe, F-44300 Nantes, France
[3] CNRS, 1 Rue Noe, F-44300 Nantes, France
[4] Naval Acad Res Inst IRENAV CC600, F-29240 Brest 9, France
关键词
Dynamic Velocity Prediction Program (DVPP); Sailing yacht; Offshore trimaran; System-based modeling; Time-domain simulation; Hydrofoil;
D O I
10.1016/j.oceaneng.2020.107668
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Thanks to high lift-to-drag ratios, hydrofoils are of great interest for high-speed vessels. Modern sailing yachts fitted with foils have thus reached impressively high speeds on the water. But this hydrodynamic efficiency is achieved at the expense of stability. Accurate tradeoffs are therefore needed to ensure both performance and safety. While usual Velocity Prediction Programs (VPPs) are inadequate to assess dynamic stability, the varying nature of the offshore racing environment further complicates the task. Dynamic simulation in the time-domain is thus necessary to help architects assess their designs. This paper presents a system-based numerical tool which aims at predicting the dynamic behavior of offshore sailing yachts. A 6 degrees of freedom (DOF) algorithm is used, calculating loads as a superposition of several components (hull, appendage, sails). Part of them are computed at runtime while the others use pre-computed dataset, allowing a good compromise between efficiency and flexibility. Three 6DOF simulations of an existing offshore trimaran (a maneuver, unsteady wind conditions and quartering seas) are presented. They underline the interest of dynamic studies, demonstrating how important the yacht state history is to the understanding of her instantaneous behavior and showing that dynamic simulations open a different field of optimization than VPPs.
引用
收藏
页数:12
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