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Title
Numerical simulation study on reasonable top coal caving technology in longwall top coal caving working face with different top coal thickness
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作者
刘闯李化敏马占元张侦锐
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Author
LIU Chuang;LI Huamin;MA Zhanyuan;ZHANG Zhenrui
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单位
河南工程学院资源与安全工程学院河南郑州451191河南理工大学能源科学与工程学院河南焦作454000晋能控股集团
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Organization
School of Resource and Safety Engineering,Henan University of Engineering
School of Energy Science and Engineering,Henan Polytechnic University
Jinneng Holding Group
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摘要
同忻煤矿8202综放工作面顶煤回收率较低,为提高煤炭资源采出率,利用CDEM建立沿工作面倾向的数值模型,模拟研究综放工作面顶煤厚度分别为4.0,8.0,12.0m时不同放煤工艺的放煤过程,分析煤矸分界面和顶煤回收率的变化规律,优化不同顶煤厚度条件下放煤工艺参数。结果表明,顶煤一次放出的厚度越大,各放煤口放煤量差异越大,放煤过程中煤矸互层越严重,煤矸分界面越混乱,顶煤回收率越低。对比可知,8202综放工作面采用三轮顺序放煤工艺时顶煤回收率最高。
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Abstract
The recovery rate of top coal in 8202 longwall top coal caving(LTCC)working face of Tongxin coal mine is low.In order to improve the recovery rate of coal resources,a numerical model along the slope of the working face was established by CDEM numerical simulation software.Different top coal caving tech‐nology were used to simulate the top coal caving process of the LTCC working face under the top coal thick‐ness of 4.0,8.0,12.0 m,the changes in the coal-gangue interface and the recovery rate of the top coal were compared and analyzed,and the reasonable coal drawing process parameters under different top coal thick‐ness were optimized.The results showed that the greater the thickness of the top coal caving at one time was,the greater the difference in the amount of top coal caving at each caving window was,the more serious the coal-gangue interbedding was,the more chaotic the coal-gangue interface was and the lower top coal re‐covery rate was.Through analysis and comparison,it was concluded that the top coal recovery rate of 8202LTCC working face was the largest under the three-round sequential top coal caving technology.
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关键词
综放工作面煤厚放煤工艺顶煤回收率数值模拟
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KeyWords
longwall top coal caving working face;coal thickness;coal caving technology;top coal recovery rate;numerical simulation
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基金项目(Foundation)
国家重点研发计划项目(2018YFC0604502);河南省科技攻关项目(222102220062);河南省自然科学基金资助项目(232300420334);河南省高校科技创新团队计划项目(22IRTSTHN009)
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