Volume 16 Issue 2
Apr.  2020
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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
shu

Research progress of mechanical property of tuna longline gear

  • 1.

    College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

  • 2.

    National Engineering Research Center for Oceanic Fisheries/Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education/Collaborative Innovation Center for Distant-water Fisheries, Shanghai 201306, China

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  • Received Date: September 12, 2019
  • Revised Date: October 30, 2019
  • Accepted Date: January 10, 2020
  • Available Online: November 27, 2019
    Graphical Abstract
    • 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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