船舶与海洋工程

基于平板-高斯烟羽模型的海上重气泄漏事故研究

  • 杨硕 ,
  • 李颖 ,
  • 刘大刚 ,
  • 付金宇 ,
  • 赵术林
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  • (大连海事大学 航海学院, 辽宁 大连 116026)
杨硕(1992 — ),男,硕士生,E-mail:insistingys_163@136.com.

收稿日期: 2019-05-28

  修回日期: 2019-06-14

  网络出版日期: 2019-06-14

基金资助

科技部国家重点研发计划(2017YFC0211904);国家科技支撑计划项目(2015BAG20B00; 2015BAG20B04);国家自然科学基金资助项目(41571336).

Study on heavy gas leakage accidents at sea based on Slab-Gauss plume model

  • YANG Shuo ,
  • LI Ying ,
  • LIU Da-gang ,
  • FU Jin-yu ,
  • ZHAO Shu-lin
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  • Navigation College, Dalian Maritime University, Dalian 116026,China)

Received date: 2019-05-28

  Revised date: 2019-06-14

  Online published: 2019-06-14

摘要

设计海上重气平板-高斯烟羽扩散模型,其中平板模型用在重气沉降阶段,高斯烟羽模型用在重气湍流扩散阶段,并设计虚拟源将两者结合.同时,对海洋环境下的模型参数进行优化,包括风速、泄漏源有效高度以及扩散参数等,将调整后的参数输入模型,对事故区域重气浓度定量可视化.结果表明,事故点处,重气以8 m/s的风速向东北方向扩散;在下风向98 m处等浓度曲线以内为爆炸限度;在转折点31 m处,两模型衔接基本吻合.经专家实地检测,以(100 m,0.0025 kg/m3)为校正点,校正后的模型仿真与当时扩散浓度点基本吻合.因此,该模型可对重气泄漏扩散浓度区域可视化,并为之后应急救援等提供技术支撑.

本文引用格式

杨硕 , 李颖 , 刘大刚 , 付金宇 , 赵术林 . 基于平板-高斯烟羽模型的海上重气泄漏事故研究[J]. 大连海事大学学报, 2019 , 45(4) : 153 -160 . DOI: 10.16411/j.cnki.issn1006-7736.2019.04.021

Abstract

In this paper, a Slab-Gauss plume diffusion model was designed for heavy gas at sea, in which the Slab model was used in the settling stage of heavy gas, and the Gauss plume model was used in the turbulent diffusion stage of heavy gas, and both were combined by a virtual source.At the same time,the model parameters in the marine environment were optimized, including wind speed, effective height of leakage source and diffusion parameters.The adjusted parameters were input into the model to quantitatively visualize the concentration of heavy gas in the accident area. The results show that at the accident point, the heavy gas diffuses to the northeast  at 8 m/s wind speed, and the explosion limit is within the equal concentration curve at 98 m downwind direction. At the turning point of 31 m, the two models converge basically. After on-site testing by experts , taking (100 m, 0.0025 kg/m3) as the calibration point, corrected model simulation basically coincides with the diffusion concentration point at that time. Therefore, the model can visualize the diffusion concentration region of heavy gas leakage, and provide technical support for subsequent emergency rescue.

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