宋利明, 李轶婷. 金枪鱼延绳钓力学性能研究进展[J]. 南方水产科学, 2020, 16(2): 121-127. DOI: 10.12131/20190183
引用本文: 宋利明, 李轶婷. 金枪鱼延绳钓力学性能研究进展[J]. 南方水产科学, 2020, 16(2): 121-127. DOI: 10.12131/20190183
SONG Liming, LI Yiting. Research progress of mechanical property of tuna longline gear[J]. South China Fisheries Science, 2020, 16(2): 121-127. DOI: 10.12131/20190183
Citation: SONG Liming, LI Yiting. Research progress of mechanical property of tuna longline gear[J]. South China Fisheries Science, 2020, 16(2): 121-127. DOI: 10.12131/20190183

金枪鱼延绳钓力学性能研究进展

Research progress of mechanical property of tuna longline gear

  • 摘要: 延绳钓的力学性能直接影响渔获效率与能源消耗。文章总结了国内外金枪鱼延绳钓力学性能由最初的海上实测到动水槽模型试验再到数值模拟研究的相关研究方法与成果。结果显示:1) 延绳钓的力学分析已从静态分析发展为动态分析;2) 进行小尺度延绳钓模型试验,目的是验证特定情况下数值模拟分析的准确性;3) 根据数值模拟和实测结果确定了延绳钓干线垂直阻力系数 (CN90) 为1.12和惯性力系数 (Cm) 为3。建议今后对延绳钓力学性能研究为:1) 研究渔具材料刚度、阻尼对数值模拟精度的影响;2) 结合金枪鱼的行为特征研究其上钩后的水动力,并将其考虑到模型之中,使模型与实际作业状态更加接近;3) 对于渔具与海流、渔船、绞机和渔获物之间的相互作用机理进行深入的数值模拟研究。

     

    Abstract: The mechanical property of longline gear affects fishing efficiency and energy consumption directly. The paper summarizes relevant research methods and progress on the mechanical property of tuna longline gear, including the initial measurement at sea, the model test in the flume tank, and the numerical simulation. Results show that: 1) the theoretical analysis of mechanical property of longline gear have developed from static analysis to dynamic analysis; 2) the model test of longline could only be carried out on a small scale in order to verify the accuracy of numerical simulation analysis under specific circumstances; 3) the perpendicular drag coefficient (CN90) and inertia coefficient (Cm) were determined to be 1.12 and 3, respectively. It is suggested that the future studies on longline gear mechanical property should: 1) foucus on the effects of the stiffness and damping of fishing gear materials on the numerical simulation accuracy; 2) combine the behavioral characteristics of tuna to study the hydrodynamic force after hooking and take it into account in the model, so that the model can match the actual operation state; 3) further numerically simulate the interaction among the fishing gear, current, fishing boat, line hauler and catches.

     

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