Modeling Paravanes for Seakeeping Tests of Fishing Vessels

Ayhan Akinturk, David Cumming, Donald Bass
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Abstract

In a recent study to evaluate the occupational risks induced by ship motions on the fishing fleet of Newfoundland, a model of a 65’ fishing vessel fitted with paravanes was tested in the Offshore Engineering Basin (OEB) of IOT. This project was done under a larger umbrella community initiative called SafetyNet to evaluate health and safety issues of the fishing industry. The particular focus of this project was to evaluate motion induced interruptions onboard the fishing vessels for various operational scenarios. Paravanes are the most common motion reducing devices used on Newfoundland fishing vessels. Paravanes were initially modelled by scaling down both the geometry and the weight using Froude scaling laws. This modeling strategy proved to be unsuccessful and several modifications to the paravanes were required throughout the test program. This paper describes the model seakeeping tests done at IOT with particular focus on the challenges encountered in modeling the paravanes. Some of the model test, sea trial and numerical prediction results obtained with and without paravanes deployed are included in the paper.
渔船耐波性试验副翼模型
在最近的一项评估纽芬兰渔船船队船舶运动引起的职业风险的研究中,在物联网的海上工程盆地(OEB)测试了一艘装有副翼的65英尺渔船模型。这个项目是在一个更大的称为安全网的伞形社区倡议下进行的,目的是评估渔业的健康和安全问题。该项目的特别重点是评估各种作业场景下渔船上的运动引起的中断。副翼是纽芬兰渔船上最常用的减振装置。Paravanes最初是通过使用弗劳德缩放定律缩小几何形状和重量来建模的。这种建模策略被证明是不成功的,并且在整个测试程序中需要对副翼进行几次修改。本文描述了在物联网上进行的模型耐水性测试,特别关注了在模拟副翼时遇到的挑战。文中介绍了在有和没有部署副翼的情况下所取得的一些模型试验、海试和数值预报结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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