抓斗下降时流场和最优下降方式的数值计算

龙瑞, Tomoaki Nakamura, Yonghwan Cho, Norimi Mizutani, Tsuyoshi Kanazawa

长江科学院院报 ›› 2017, Vol. 34 ›› Issue (12) : 7-11.

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PDF(4396 KB)
长江科学院院报 ›› 2017, Vol. 34 ›› Issue (12) : 7-11. DOI: 10.11988/ckyyb.20170785
江湖泥沙与治理

抓斗下降时流场和最优下降方式的数值计算

  • 龙瑞1, Tomoaki Nakamura2, Yonghwan Cho2, Norimi Mizutani2, Tsuyoshi Kanazawa3
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Numerical Calculation of Flow Field and Optimal OperationDuring the Drop of Grab Bucket

  • LONG Rui1, Tomoaki Nakamura2, Yonghwan Cho2, Norimi Mizutani2, Tsuyoshi Kanazawa3
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摘要

疏浚作业时如何能有效减少水体浑浊,减轻污染一直是人们关注的问题。利用可以分析流体和固体间运动相互作用的数学模型,模拟了环保型抓斗下降过程中的流场情况,并讨论了不同下降方式对流场的影响,提出了能适度控制流场扰动的操作方法。结果表明:抓斗在下降过程中减速能有效减少底面流速,达到抑制底面浑浊的效果,其中抓斗在距离底面3 m处减速为初始速度的1/3能最有效减少水体扰动从而抑制底面浑浊。研究结果可为环保型疏浚施工提供参考。

Abstract

It is essential to effectively reduce the generation of turbidity and pollution in dredging works. In this paper, the flow field during the drop of a sealed grab bucket was simulated with a three-dimensional coupled fluid-structure-sediment-seabed interaction model (FS3M), and the impact of different drop modes on turbidity was discussed in order to propose the optimal drop operation for reducing the turbidity effectively. Numerical results showed that a decrease in the drop speed of the bucket could effectively reduce flow velocity at the bottom, suggesting a reduction in the generation of turbidity from the bottom. In particular, reducing the drop speed of grab bucket to one-third at 3 meters from the bottom is found to be the most effective.

关键词

疏浚作业 / 抓斗 / 下降方式 / 流场扰动 / 数值计算 / 水体浑浊

Key words

dredging / grab bucket / drop operation / flow field disturbance / numerical analysis / water turbidity

引用本文

导出引用
龙瑞, Tomoaki Nakamura, Yonghwan Cho, Norimi Mizutani, Tsuyoshi Kanazawa. 抓斗下降时流场和最优下降方式的数值计算[J]. 长江科学院院报. 2017, 34(12): 7-11 https://doi.org/10.11988/ckyyb.20170785
LONG Rui, Tomoaki Nakamura, Yonghwan Cho, Norimi Mizutani, Tsuyoshi Kanazawa. Numerical Calculation of Flow Field and Optimal OperationDuring the Drop of Grab Bucket[J]. Journal of Changjiang River Scientific Research Institute. 2017, 34(12): 7-11 https://doi.org/10.11988/ckyyb.20170785
中图分类号: U616.2    TV148   

参考文献

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