Exposed vessel operations in aquaculture: Experimental validation of numerical models

IF 4.3 2区 农林科学 Q2 AGRICULTURAL ENGINEERING
Robert Indergård, Simen B. Lysthaug, Eivind Lona, Henning Braaten
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引用次数: 0

Abstract

As more of the aquaculture industry is expected to move production towards exposed waters, accurate numerical models are essential for ensuring safe and efficient operations at sea.
In this paper, a numerical model of a vessel moored to a fish cage was developed and validated using model test experiments. The tests were conducted in irregular waves, wind, and current, with the vessel positioned in both head sea and beam sea conditions. The same environmental conditions were applied in the numerical analysis. The vessel motions in all degrees of freedom were considered, along with the forces in anchor lines, vessel mooring lines and bridle lines. The numerical model was created using SIMA.
Various floater ring bending stiffness values were tested in the numerical simulations. The system showed minimal sensitivity to these variations. The numerical model generally over-predicted peak loads and motions due to lack of friction between the vessel and the floating ring. However, it accurately recreated the vessel response and line force response, with mean values and phases matching the model test results. Hence, SIMA can predict motions and forces in typical exposed vessel operation in aquaculture.
水产养殖中暴露的船只操作:数值模型的实验验证
随着越来越多的水产养殖业将生产转移到暴露的水域,精确的数值模型对于确保海上安全和有效的作业至关重要。本文建立了船舶系泊在鱼笼上的数值模型,并通过模型试验进行了验证。测试是在不规则波浪、风和水流中进行的,船在头海和尾海条件下都有定位。数值分析采用相同的环境条件。考虑了船舶在各个自由度下的运动,以及锚线、船舶系泊线和缰绳的受力。采用SIMA建立了数值模型。在数值模拟中测试了各种浮动环的弯曲刚度值。该系统对这些变化表现出最小的敏感性。由于船舶与浮环之间缺乏摩擦力,该数值模型通常会高估峰值载荷和运动。然而,它准确地再现了容器响应和线力响应,其平均值和相位与模型测试结果相匹配。因此,SIMA可以预测水产养殖中典型的暴露船操作中的运动和力。
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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来源期刊
Aquacultural Engineering
Aquacultural Engineering 农林科学-农业工程
CiteScore
8.60
自引率
10.00%
发文量
63
审稿时长
>24 weeks
期刊介绍: Aquacultural Engineering is concerned with the design and development of effective aquacultural systems for marine and freshwater facilities. The journal aims to apply the knowledge gained from basic research which potentially can be translated into commercial operations. Problems of scale-up and application of research data involve many parameters, both physical and biological, making it difficult to anticipate the interaction between the unit processes and the cultured animals. Aquacultural Engineering aims to develop this bioengineering interface for aquaculture and welcomes contributions in the following areas: – Engineering and design of aquaculture facilities – Engineering-based research studies – Construction experience and techniques – In-service experience, commissioning, operation – Materials selection and their uses – Quantification of biological data and constraints
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