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基于PIV技术的方形网箱二维流场分析

崔勇 关长涛 赵侠 刘超 黄滨 李娇

渔业科学进展Issue(5):138-144,7.
渔业科学进展Issue(5):138-144,7.DOI:10.11758/yykxjz.20150519

基于PIV技术的方形网箱二维流场分析

Analysis of Two-Dimension Flow Field of the Square Cage Based on Particle Image Velocimetry (PIV)

崔勇 1关长涛 1赵侠 1刘超 1黄滨 1李娇1

作者信息

  • 1. 农业部海洋渔业可持续发展重点实验室 青岛市海水鱼类种子工程与生物技术重点实验室中国水产科学研究院黄海水产研究所青岛 266071
  • 折叠

摘要

Abstract

The current in sea can maintain the water quality in the cage, but the strong current can cause serious deformation of the cage and reduce the effective volume of the cage. This study was conducted to research the reduction in flow velocity downstream from square cages in currents. The flow-velocity distribution downstream from cages was invested with four different net mesh shapes and sizes. The reduction in flow velocity was recorded using both the Particle Image Velocimetry (PIV) and Acoustic Doppler Velocimetry (ADV). The results showed that there was an obvious reduction in flow velocity downstream in the four cage models. The height of the flow-reduction region was approximately the same as the height of the cage. The flow velocity increased at the bottom of the cage. The results achieved by PIV consistent with the data recorded by ADV. The average reduction factor of the four cage models was from 0.5 to 0.8 at 0.18 m/s the incoming velocity. The reduction in flow velocity of the cage with small meshes was greater than the cage with big meshes. The reduction in flow velocity of the cage with diamond meshes was slightly greater than the cage with square meshes. The average reduction factor was not obviously impacted by the incoming velocity. The results of the vertical plane through the center of the cage by PIV were visualized by the velocity nephogram. These findings will contribute to the understanding of the flow characteristics around the square cage.

关键词

网箱/阻流效应/粒子测速/水槽试验

Key words

Fish cage/Flow-velocity reduction/Particle-image velocimetry/Flume experiment

分类

农业科技

引用本文复制引用

崔勇,关长涛,赵侠,刘超,黄滨,李娇..基于PIV技术的方形网箱二维流场分析[J].渔业科学进展,2015,(5):138-144,7.

基金项目

国家自然科学基金(30972256、51239002)和现代农业产业技术体系建设专项(CARS-50-G05)共同资助。 (30972256、51239002)

渔业科学进展

OA北大核心CSCDCSTPCD

2095-9869

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