摘要
煤与瓦斯突出严重威胁着煤矿的安全生产,其本质是煤体在地应力和瓦斯压力耦合作用下破碎并抛出,从而形成具有致灾效应的煤粉-瓦斯两相流.本文通过开展真三轴条件下煤与瓦斯突出物理模拟试验,对突出煤体的破碎抛出特征及粒度分布规律进行了研究,结果表明:突出煤体质量及面密度整体上随距突出口距离的增加而增大,地应力集中程度越高,突出煤体质量和突出强度越大,同时突出煤体的破碎程度越显著;突出煤体的粒度分布符合两参数Weibull分布模型,拟合参数m和d0共同影响和控制突出煤体粒度分布结果;通过对m和d0物理含义的探讨提出了其在进一步研究突出能量耗散和突出预测方法中的应用前景.
Coal and gas outburst is a serious threat to the safety production of coal mine.The essence of outburst is that the coal is broken and thrown out under the coupling effect of in-situ stress and gas pressure,thus forming coal and gas flow with disaster causing effect.In this study,the physical simulation tests of outburst under true triaxial conditions were carried out to analyze the breaking characteristics and particle size distribution of ejected coal after outburst.The results show that the mass and area density of outburst coal increase with the increase of the distance from the outburst mouth.The higher the stress concentration factor is,the greater the mass and outburst intensity are,and the more obvious the crushing degree of outburst coal is.The distribution of ejected coal conforms to the two-parameter Weibull distribution model,and the parameters of m and d0 influence and controll the distribution result of outburst coal together.The application prospects of m and d0 in the further study of outburst energy dissipation and outburst prediction method are put forward based on the discussing of their physical meanings.
作者
张超林
许江
王恩元
彭守建
赵恩来
ZHANG Chaolin;XU Jiang;WANG Enyuan;PENG Shoujian;ZHAO Enlai(Key Laboratory of Gas and Fire Control for Coal Mines,Ministry of Education,China University of Mining and Technology,Xuzhou,Jiangsu 221116,China;School of Safety Engineering,Xuzhou,Jiangsu 221116,China;State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing University,Chongqing 400044,China)
出处
《中国矿业大学学报》
CSCD
北大核心
2021年第4期784-792,共9页
Journal of China University of Mining & Technology
基金
国家自然科学基金项目(51904293,51874055)
中国博士后科学基金项目(2019M661998)
江苏省自然科学基金项目(BK20190627)。
关键词
煤与瓦斯突出
煤岩破碎
粒度分布
Weibull模型
概率密度
coal and gas outburst
coal rock breaking
particle size distribution
Weibull model
probability density
