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球罐BLEVE碎片抛射的危害性研究 被引量:11

Research on Hazard of Fragments from Spherical Tank BLEVE
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摘要 多米诺效应是造成重大事故损失加剧、灾难升级的一个重要原因。爆炸碎片是化工区多米诺事故的重要诱因之一。以球罐液体沸腾进而扩展为蒸气云爆炸(BLEVE)为例,从爆炸碎片飞行过程的规律性及碎片产生抛射的不确定性出发,采用蒙特卡罗方法进行模拟,利用相关数据和资料确定爆炸碎片产生和飞行中的不确定性参数,计算出碎片的抛射范围。并在此基础上,计算得到了不同充装水平下的球罐爆炸后产生碎片碰撞两种目标容器的概率。研究发现:当目标容器不同时,储罐爆炸产生碎片的碰撞概率差别较大;当目标容器一定时,不同充装水平的储罐可造成的多米诺效应虽有不同,但差别不大。研究结果对于定量评价储罐爆炸碎片的危害性,减缓和控制碎片产生的风险,确定罐区之间防护碎片危害所需的安全距离等提供了指导和借鉴。 Domino effect is a well-known cause of major accidents in the chemical process industries, resulting in overall consequences which are more severe than those of the primary event. Fragment projection is one of the major escalation vectors to cause domino effect. The present work took a spherical tank with boiling liquid expanding vapor explosion (BLEVE) as an example. The probability distribution density of uncertain parameters in the generation and flight of fragments were determined by the data from literatures, and simulated by Monte-Carlo method. Then the projectile distances of fragments were calculated. In this way, the impact probabilities of fragments on objective vessels were attained. The impact probabilities of fragments on the different objective vessels have great gaps. However, the impact probabilities of fragments produced by vessels with different filling levels on the same object are almost same. This method is of great significance for the risk assessment and control of fragments from explosion of spherical tank. It can be used to provide guidance and reference for determining safety distance to prevent domino effect of fragments between storage tanks.
出处 《高压物理学报》 EI CAS CSCD 北大核心 2009年第5期389-394,共6页 Chinese Journal of High Pressure Physics
关键词 球罐 碎片 BLEVE 蒙特卡罗法 不确定性 spherical tank fragment BLEVE Monte-Carlo uncertainty
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参考文献11

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同被引文献123

  • 1孙东亮,蒋军成,张明广,王志荣.基于最大熵原理的卧罐爆炸碎片数量概率分布[J].化工学报,2011,62(S1):219-224. 被引量:4
  • 2张玉若.液化石油气事故机理及模拟评价方法[J].工业安全与环保,2006,32(3):56-58. 被引量:9
  • 3姜巍巍,李奇,李俊杰,姜春明.BLEVE火球热辐射及其影响评价模型介绍[J].工业安全与环保,2007,33(5):23-24. 被引量:11
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  • 5Pula R, Khan F I, Veitch B, et al. A model for estimating the probability of missile impact: missiles originating from bursting horizontal cylindrical vessels [ J ]. Process Safety Progress, 2007, 26(2) :129 - 139.
  • 6Gubinelli G, Cozzani V. Assessment of missile hazards:identification of reference fragmentation patterns [ J ]. Journal of Hazardous Materials,2009,163 (2/3) : 1008 - 1018.
  • 7Gubinelli G, Cozzani V. Assessment of missile hazards : Evaluation of the fragment number and drag factors[ J]. Journal of Hazardous Materials ,2009,161 ( 1 ) :439 - 449.
  • 8Mebarki A, Mercier F, Nguyen Q B, et al. Structural fragments and explosions in industrial facilities: I . probabilistic description of the source terms[ J]. Journal of Loss Prevention in the Process Industries,2009,22 (4) :408 - 416.
  • 9Mebarki A, Nguyen Q B, Mercier F. Structural fragments and ex- plosions in industrial facilities: II. projectile trajectory and probability of impact [ J ]. Journal of Loss Prevention in the Process Industries, 2009,22 ( 4 ) : 417 - 425.
  • 10Nguyen Q B, Mebarki A, Saada R A, et al. Integrated probabilistic framework for domino effect and risk analysis [ J ]. Advances in Engineering Software,2009,40 ( 9 ) : 892 - 901.

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