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LI Wei,LIU Yanqing,ZHANG Lang. Model and numerical solution method the failure of air volume and air flow components in the ventilation network during the period of external fire[J]. Coal Science and Technology,2025,53(5):196−212. DOI: 10.12438/cst.2024-0226
Citation: LI Wei,LIU Yanqing,ZHANG Lang. Model and numerical solution method the failure of air volume and air flow components in the ventilation network during the period of external fire[J]. Coal Science and Technology,2025,53(5):196−212. DOI: 10.12438/cst.2024-0226

Model and numerical solution method the failure of air volume and air flow components in the ventilation network during the period of external fire

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  • Received Date: February 22, 2024
  • Available Online: May 11, 2025
  • In order to eeproduced as much as possible the disaster processes such as air volume fluctuations, airflow reversal, abnormal airflow temperature, the spread of toxic and harmful smoke, and the decrease in oxygen volume fraction in the ventilation network during the period of fire occurrence, the airflow pressure balance equation of the ventilation network circuit based on the conservation of airflow mass flow rate, the control equations for heat exchange and propagation in ventilation networks, the control equations for the diffusion and dispersion of toxic and harmful gases in ventilation networks, and the control equation of the consumption and transport of oxygen component in ventilation network were constructed. Based on the theory of multi physics field coupling, the above equations were combined using key ventilation parameters such as airflow resistance, fire pressure, and air flow density to construct the multi field coupling mathematical model for an unstable ventilation network during the period of external fire, which included “air volume and airflow direction, airflow temperature, toxic and harmful gases volume fraction, and oxygen volume fraction”. Based on the Newton method of loop air volume, the variation of air volume and airflow direction in the ventilation network was solved. The finite difference method of upwind discrete format was used to solve the heat and mass transfer process of airflow in the ventilation network. The indirect coupled multi physical field solution method based on temporal logic was adopted to construct the solution process. The accuracy and applicability of the model were preliminarily verified by carrying out external fire experiments in the test roadway of the angular structure, and on this basis, the dynamic change process of air volume change, wind flow reversal, abnormal wind temperature, spread of toxic and harmful gases, and oxygen volume fraction fluctuation in the complex ventilation network under the location of the fire source of the branch in the air inlet area and the branch branch in the air consumption area were simulated respectively.The simulation results showed that under the condition that the ignition source was located in the air inlet well, the number of branches with significant changes in air volume reached 61% of the total number of branches in the ventilation network, the number of branches with significant changes in wind flow reached 11% of the total number of branches in the ventilation network, the number of branches with significant changes in wind temperature reached 76% of the total number of branches in the ventilation network, the number of branches with CO intrusion reached 84% of the total number of branches in the ventilation network, and the number of branches with significant changes in oxygen volume fraction reached 41% of the total number of branches in the ventilation network. The impact scope and intensity of disasters caused by fire in the air inlet shaft branch were significantly greater than those in other branches.

  • [1]
    王德明,邵振鲁,朱云飞. 煤矿热动力重大灾害中的几个科学问题[J]. 煤炭学报,2021,46(1):57−64.

    WANG Deming,SHAO Zhenlu,ZHU Yunfei. Several scientific issues on major thermodynamic disasters in coal mines[J]. Journal of China Coal Society,2021,46(1):57−64.
    [2]
    王德明,张伟,王和堂,等. 煤矿热动力重大灾害的不确定性风险特性研究[J]. 采矿与安全工程学报,2023,40(4):826−837.

    WANG Deming,ZHANG Wei,WANG Hetang,et al. Uncertain risk characteristics of major thermodynamic disasters in underground coal mines[J]. Journal of Mining & Safety Engineering,2023,40(4):826−837.
    [3]
    周福宝,辛海会,魏连江,等. 矿井智能通风理论与技术研究进展[J]. 煤炭科学技术,2023,51(1):313−328.

    ZHOU Fubao,XIN Haihui,WEI Lianjiang,et al. Research progress of mine intelligent ventilation theory and technology[J]. Coal Science and Technology,2023,51(1):313−328.
    [4]
    张浪,刘彦青. 矿井智能通风与关键技术研究[J]. 煤炭科学技术,2024,52(1):178−195. doi: 10.12438/cst.2023-1987

    ZHANG Lang,LIU Yanqing. Research on technology of key steps of intelligent ventilation in mines[J]. Coal Science and Technology,2024,52(1):178−195. doi: 10.12438/cst.2023-1987
    [5]
    李祥春,蒋颖,李梅生. 巷道火灾时期流场及瓦斯浓度变化规律数值模拟研究[J]. 煤炭科学技术,2019,47(5):119−125.

    LI Xiangchun,JIANG Ying,LI Meisheng. Study on numerical simulation of variations of airflow field and gas concentration during roadway fire[J]. Coal Science and Technology,2019,47(5):119−125.
    [6]
    张春华,康璇,申嘉辉. 矿井L形巷道火灾蔓延规律模拟研究[J]. 安全与环境学报,2022,22(6):3111−3118.

    ZHANG Chunhua,KANG Xuan,SHEN Jiahui. Simulation study on fire spread law of L-shaped roadway in mine[J]. Journal of Safety and Environment,2022,22(6):3111−3118.
    [7]
    田水承,窦培谦,张成镇. 基于Pyrosim的风速对矿井火灾蔓延规律影响研究[J]. 金属矿山,2020(2):199−204.

    TIAN Shuicheng,DOU Peiqian,ZHANG Chengzhen. Impact of different wind speeds on the law of mine fire spread based on pyrosim[J]. Metal Mine,2020(2):199−204.
    [8]
    刘雨晴,张培红. 大坡度倾斜巷道火灾烟气温度分布特征研究[J]. 中国安全科学学报,2021,31(4):156−162.

    LIU Yuqing,ZHANG Peihong. Study on fire-induced smoke temperature distribution characteristics in largely inclined roadway[J]. China Safety Science Journal,2021,31(4):156−162.
    [9]
    李宗翔,王海文,李腾,等. 下行风流火灾管道试验与烟流动力特征研究[J]. 安全与环境学报,2023,23(2):391−396.

    LI Zongxiang,WANG Haiwen,LI Teng,et al. Downstream airflow fire dust test and smoke flow dynamic characteristics study[J]. Journal of Safety and Environment,2023,23(2):391−396.
    [10]
    李晴,康建宏,周福宝,等. 全尺寸巷/隧道火灾风烟流温度预测模型与验证[J]. 中国安全生产科学技术,2022,18(8):5−12.

    LI Qing,KANG Jianhong,ZHOU Fubao,et al. Prediction model and verification of smoke flow temperature in full-scale roadway/tunnel fires[J]. Journal of Safety Science and Technology,2022,18(8):5−12.
    [11]
    马砺,张鹏宇,李超华,等. 不同封堵条件下巷道火灾烟气温度场预测模型[J]. 西安科技大学学报,2021,41(2):213−220.

    MA Li,ZHANG Pengyu,LI Chaohua,et al. Prediction model of roadway fire temperature field under different plugging conditions[J]. Journal of Xi’an University of Science and Technology,2021,41(2):213−220.
    [12]
    王海燕,徐祚卉,徐良伟,等. 矿井火灾时期火源分支巷道风阻变化趋势试验研究[J]. 安全与环境学报,2023,23(8):2661−2668.

    WANG Haiyan,XU Zuohui,XU Liangwei,et al. Experimental study on the variation law of wind resistance in branch roadway of fire source during mine fire[J]. Journal of Safety and Environment,2023,23(8):2661−2668.
    [13]
    白志鹏,王南,杜珮颖,等. 矿井复杂管网内有害气体的非稳态运移模型与试验研究[J]. 煤炭工程,2021,53(11):135−139.

    BAI Zhipeng,WANG Nan,DU Peiying,et al. Unsteady migration model of harmful gas in complex pipe network of mine and the experiment verification[J]. Coal Engineering,2021,53(11):135−139.
    [14]
    周福宝,王德明. 矿山通风网络火灾的计算机仿真模拟[J]. 金属矿山,2008(2):115−117,151. doi: 10.3321/j.issn:1001-1250.2008.02.029

    ZHOU Fubao,WANG Deming. Computer simulation of mine fire of ventilation network[J]. Metal Mine,2008(2):115−117,151. doi: 10.3321/j.issn:1001-1250.2008.02.029
    [15]
    李贺,田丽,曾钢,等. 基于FDS的风速对矿井火灾蔓延规律的影响研究[J]. 中国安全生产科学技术,2022,18(5):143−149.

    LI He,TIAN Li,ZENG Gang,et al. Study on influence of wind speed on spread law of mine fire based on FDS[J]. Journal of Safety Science and Technology,2022,18(5):143−149.
    [16]
    戚宜欣,王省身,鲍庆国. 矿井火灾时期风流流动及通风系统变化的动态模拟[J]. 中国矿业大学学报,1995,24(3):19−23.

    QI Yixin,WANG Xingshen,BAO Qingguo. Dynamic simulation of the flow of mine air and the change of ventilation systems during mine fire[J]. Journal of China University of Mining & Technology,1995,24(3):19−23.
    [17]
    李宗翔,王雅迪,李林. 上行风流火灾3D矿井通风系统灾变过程仿真[J]. 煤炭学报,2015,40(1):115−121.

    LI Zongxiang,WANG Yadi,LI Lin. 3D simulation of disaster process in mine ventilation system during fire period[J]. Journal of China Coal Society,2015,40(1):115−121.
    [18]
    李宗翔,张慧博,路宝生,等. 矿井系统下行风流火灾试验与TF1M3D平台仿真研究[J]. 中国安全生产科学技术,2018,14(1):30−34.

    LI Zongxiang,ZHANG Huibo,LU Baosheng,et al. Research of test and TF1M3D platform simulation on descending airflow fire in mine[J]. Journal of Safety Science and Technology,2018,14(1):30−34.
    [19]
    张明乾,李宗翔,李腾,等. 矿井网域系统上行火灾灾情演变特征研究[J]. 煤炭学报,2021,46(S2):785−792.

    ZHANG Mingqian,LI Zongxiang,LI Teng,et al. Experiments of mine fire in ascensional airflow and the mine fire control simulation[J]. Journal of China Coal Society,2021,46(S2):785−792.
    [20]
    张景钢,孙春峰,张海洋,等. 矿井火灾模拟解算软件开发研究[J]. 华北科技学院学报,2015,12(1):30−35.

    ZHANG Jinggang,SUN Chunfeng,ZHANG Haiyang,et al. Development & research of simulation calculating software of mine fire simulation[J]. Journal of North China Institute of Science and Technology,2015,12(1):30−35.
    [21]
    裴晓东,郝海清,王凯,等. 矿井复杂风网火灾风烟流应急调控技术及应用[J]. 煤炭科学技术,2023,51(5):124−132.

    PEI Xiaodong,HAO Haiqing,WANG Kai,et al. Research and application of fire air and smoke flow emergency control technology for mine complex ventilation network[J]. Coal Science and Technology,2023,51(5):124−132.
    [22]
    郝海清,王凯,张春玉,等. 矿井皮带巷火灾风烟流场-区-网演化与调控规律[J]. 中国矿业大学学报,2021,50(4):716−724.

    HAO Haiqing,WANG Kai,ZHANG Chunyu,et al. Evolution and regulation law of wind and smoke flow field area network in mine belt roadway fire[J]. Journal of China University of Mining & Technology,2021,50(4):716−724.
    [23]
    李翠平,曹志国,钟媛. 矿井火灾的场量模型构建及其可视化仿真[J]. 煤炭学报,2015,40(4):902−908.

    LI Cuiping,CAO Zhiguo,ZHONG Yuan. Field variables modeling and visualization simulation of fire disaster in underground mine[J]. Journal of China Coal Society,2015,40(4):902−908.
    [24]
    傅培舫. 实际巷道火灾过程热物理参数变化规律与计算机仿真的研究[D]. 徐州:中国矿业大学,2002.

    FU Peifang. Study on variation law of thermophysical parameters and computer simulation in actual roadway fire process[D]. Xuzhou:China University of Mining and Technology,2002.
    [25]
    高建良,杨明. 巷道围岩温度分布及调热圈半径的影响因素分析[J]. 中国安全科学学报,2005,15(2):73−76. doi: 10.3969/j.issn.1003-3033.2005.02.017

    GAO Jianliang,YANG Ming. Analysis of the factors influencing temperature distribution of surrounding rock and cooled zone radius[J]. China Safety Science Journal,2005,15(2):73−76. doi: 10.3969/j.issn.1003-3033.2005.02.017
    [26]
    周心权,吴兵. 矿井火灾救灾理论与实践[M]. 北京:煤炭工业出版社,1996.
    [27]
    姚勇征,张文明,吴兵,等. 巷道火灾对通风系统影响的全尺寸试验与模拟[J]. 中国矿业大学学报,2021,50(4):709−715.

    YAO Yongzheng,ZHANG Wenming,WU Bing,et al. Full-scale experimental and simulation study of the influences of laneway fire on ventilation system[J]. Journal of China University of Mining & Technology,2021,50(4):709−715.

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