|本期目录/Table of Contents|

[1]谭家磊,汪彤,宗若雯.原油储罐火灾扬沸形成时间预测模型研究*[J].中国安全生产科学技术,2009,5(5):37-41.
 TAN Jia lei,WANG Tong,ZONG Ruo wen.Study of time predicting model for boilover formation in crude oil tank fire[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2009,5(5):37-41.
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原油储罐火灾扬沸形成时间预测模型研究*()
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
5
期数:
2009年5
页码:
37-41
栏目:
出版日期:
2009-10-31

文章信息/Info

Title:
Study of time predicting model for boilover formation in crude oil tank fire
文章编号:
1673-193X(2009)-05-0037-05
作者:
谭家磊12汪彤1宗若雯2
1.北京市劳动保护科学研究所2.中国科学技术大学火灾科学国家重点实验室
Author(s):
TAN Jialei12 WANG Tong1ZONG Ruowen2
1.Beijing Municipal Institute of Labour Protection2.State Key Laboratory of Fire Science, University of Science and Technology of China
关键词:
原油储罐火灾扬沸热波预测模型
Keywords:
crude oil tank fire boilover heat wave prediction model
分类号:
X937
DOI:
-
文献标志码:
A
摘要:
扬沸火灾是一种突变性灾害现象,其发生能导致巨大的人员伤亡和财产损失,其形成时间预测问题一直备受关注。根据能量守恒定律,把原油层内的热量传递看作无内热源、常物性的非稳态传热问题,建立热量传递模型,通过预测油层内的温度分布,结合小尺度油罐扬沸火灾实验结果,推导出扬沸形成时间预测模型。并对其可靠性进行了案例验证,结果表明模型准确,误差较小。实验发现随着罐径的增大,水层厚度对扬沸形成时间的影响逐渐减小。通过预测模型计算得到:扬沸形成时间与初始油层厚度和罐径的比值存在正比例关系。
Abstract:
Boilover is a kind of mutational phenomenon, which can cause great casualties and property losses。The time prediction method of boilover formation was particularly concerned. According to the law of conservation of energy, the formation of heat transfer within oil layer was regarded as the unsteady heat transfer problem without heat resource, and a heat transfer model was established.The temperature distribution was predicted,Combining the experimental results of small scale oil tank fire test were combined, the prediction model of boilover formation was derived. The reliability of prediction model was tested. The results indicated that the model is right. Experiments results indicate that the influence of water layer thickness on the time of boilover formation decrease gradually with increase of oil tank diameter. The time of boilover formation directly related with the ratio of initial oil layer thickness and tank diameter through the prediction model calculation.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2009-06-16*基金项目:国家“十一五”科技支撑项目“典型灾害事故模拟仿真与虚拟现实关键技术研究”(编号:2007BAK22 B05)资助
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