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作 者:单麒源 刘永立 巩宪辉 张政豪 Shan Qiyuan;Liu Yongli;Gong Xianhui;Zhang Zhenghao(School of Mining Engineering,Heilongjiang University of Science&Technology,Harbin 150022,China)
机构地区:[1]黑龙江科技大学矿业工程学院,哈尔滨150022
出 处:《黑龙江科技大学学报》2024年第6期829-833,共5页Journal of Heilongjiang University of Science And Technology
基 金:黑龙江省“揭榜挂帅”科技攻关项目(2021ZXJ02A03);黑龙江省“百千万”工程科技重大专项项目(2020ZX04A01)。
摘 要:为研究采空区发生火灾时多元可燃气体对CH_(4)爆炸极限的影响,通过煤程序升温实验、20 L球爆炸参数实验并结合采空区火灾环境,获取不同温度下多元可燃气体的生成规律,分析影响CH_(4)爆炸极限的主要气体成分,开展基于CO和H_(2)的多元可燃气体对CH_(4)爆炸极限影响实验,利用SPSS软件分析并拟合线性回归方程。结果表明:在煤矿采空区火灾前期CO含量最多,是监测自燃的重要指标;CO和H_(2)对CH_(4)爆炸极限有一定影响,H_(2)含量较少,但对CH_(4)爆炸极限的影响却更为显著;SPSS软件建立的线性回归模型符合统计学意义,验证了多元可燃气体对CH_(4)爆炸极限的作用规律。该研究为制定煤矿采空区火灾应急救援方案提供了科学依据。This paper is devoted to investigating the effects of multi-component combustible gases on the explosion limits of CH_(4) during goaf fires.The study involves obtaining the generation patterns of multi-component combustible gases at different temperatures through the coal programmed heating experiments,20 L spherical explosion parameter experiments and the goaf fire environment,analyzing the primary gas components influencing CH_(4) explosion limits,conducting the experiments that the CH_(4) explosion limits are influenced by CO and H_(2) multi-component combustible gases,and using SPSS software to analyze and fit the linear regression equations.The results show that CO is the predominant gas during the early stages of goaf fires and serves as a critical indicator for spontaneous combustion monitoring.Both CO and H_(2) influence the explosion limits of CH_(4),but the less content of H_(2) has more significant impact.The linear regression model established by SPSS software is in accord with statistical significant,verifying the effects of multi-component combustible gases on CH_(4) explosion limits.This research provides a scientific basis for formulating emergency response plans for goaf fires in coal mines.
分 类 号:TD753.7[矿业工程—矿井通风与安全]
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