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超临界二氧化碳BLEVE机理数值模拟
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科技导报 | 研究论文 2014, 32(25): 46-50
超临界二氧化碳BLEVE机理数值模拟
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张德平1, 赵耀2, 史晓慧2, 刘振翼2
作者信息
    1. 中国石油吉林油田采油工艺研究院, 松原 138000;
    2. 北京理工大学爆炸科学与技术国家重点实验室, 北京 100081
Numerical Simulation of BLEVE Mechanism of Supercritical Carbon Dioxide
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出版时间: 2014-09-08 doi: 10.3981/j.issn.1000-7857.2014.25.007
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碳捕集与贮存及提高油田采收率(CCS-EOR)技术是节能减排的有效手段。本文以超临界CO2为研究对象,采用数值模拟的方法(使用FLUENT 软件及可压缩形式的N-S 方程,采用SIMPLEC 求解有限差分方程,选用标准k-ε湍流模型,多相流模型选用FLUENT 自带的VOF(volume of fluid)模型),对其在注入油管内发生沸腾液体扩展蒸气云爆炸(BLEVE)事故的初期过程进行模拟计算,建立并验证合理可靠的数学模型,分析容器内流场演化过程及压力、温度的变化过程,揭示超临界CO2 BLEVE 过程的发生机理与变化规律。
超临界二氧化碳  /  沸腾液体扩展蒸气云爆炸  /  爆炸机理  /  数值模拟
Greenhouse effect and energy shortage are becoming increasingly serious problems with rapid development of the oilrefining industry. Oil carbon capture and storage and the enhanced oil recovery(CCS-EOR)is developed to alleviate the shortage. Asimulation was carried outusing CFD method in this paper. The FLUENT software was used, and the SIMPLEC method and standard turbulent model were adopted to solve compressible N-S equations. VOF (volume of fluid) model was chosen as the multiphase model. The numerical simulation was based on the physical model and suitable mathematical model. A model was established to illustrate the mechanism and rule of supercritical CO2 BLEVE, providing technical support to accident prevention and reference for future research.
supercritical CO2  /  boiling liquid expanding vapor explosion  /  blast mechanism  /  numerical simulation
张德平, 赵耀, 史晓慧, 刘振翼. 超临界二氧化碳BLEVE机理数值模拟. 科技导报, 2014 , 32 (25) : 46 -50 . DOI: 10.3981/j.issn.1000-7857.2014.25.007
ZHANG Deping, ZHAO Yao, SHI Xiaohui, LIU Zhenyi. Numerical Simulation of BLEVE Mechanism of Supercritical Carbon Dioxide[J]. Science & Technology Review, 2014 , 32 (25) : 46 -50 . DOI: 10.3981/j.issn.1000-7857.2014.25.007
2014年第32卷第25期
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doi: 10.3981/j.issn.1000-7857.2014.25.007
  • 接收时间:2014-06-12
  • 首发时间:2014-09-16
  • 出版时间:2014-09-08
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  • 收稿日期:2014-06-12
  • 修回日期:2014-07-27
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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