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作 者:成小雨 程成 陈龙 赵刚 CHENG Xiaoyu;CHENG Cheng;CHEN Long;ZHAO Gang(China Coal Energy Research Institute Co.,Ltd.,Xi′an 710054,China;College of Safety Science and Engineering,Xi′an University of Science and Technology,Xi′an 710054,China)
机构地区:[1]中煤能源研究院有限责任公司,西安710054 [2]西安科技大学安全科学与工程学院,西安710054
出 处:《煤炭技术》2023年第4期103-107,共5页Coal Technology
基 金:国家自然科学基金项目(51874233)。
摘 要:为了进一步探究综放开采落煤瓦斯涌出规律,通过理论分析、物理实验和现场测试,分析了截落和放落煤体粒度分布特征,揭示了落煤瓦斯涌出强度变化特征,构建了综放开采落煤瓦斯涌出动态预测模型,并对模型进行了验证。结果表明:王家岭矿12302综放工作面落煤粒度分布主要集中在2~20 mm及40 mm以上,占比总和达到60%以上;随着煤体粒度减小,瓦斯解吸强度增高,达到解吸平衡的速度增快;构建的截落和放落煤瓦斯涌出动态预测模型平均误差不大于10%,能够较好地表征现场实际落煤瓦斯涌出规律,为综放开采条件下瓦斯涌出预测及防控提供了可靠基础支撑。In order to further explore the law of gas emission of"cutting-caving"coal in fully mechanized top-coal caving mining,through theoretical analysis,indoor experiments and field test,the particle size distribution characteristics of cutting and caving coal are analyzed,the characteristics of gas emission intensity of mined coal body are explored,the gas emission dynamic prediction model of mined coal body is constructed.The results show that the distribution of coal particle size on the working surface of 12302 of Wangjialing mine is mainly between 2-20 mm and above 40 mm,accounting for more than 60%of the total,as the coal particle size decreases,the gas desorption strength increases,and the speed of reaching the desorption equilibrium increases rapidly,the average error of the gas emission dynamic prediction model is not more than 10%,the model can better characterize the actual gas emission law,and provide a reliable foundation for the prediction and prevention of gas emission under fully mechanized top-coal caving mining conditions.
分 类 号:TD712[矿业工程—矿井通风与安全]
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