基于能量密度相似性的多煤层冲击危险性评价方法
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摘要
针对张双楼煤矿西一采区多煤层开采的冲击危险性预测问题,根据地质演化原理,提出了利用上煤层开采数据预测下煤层冲击危险性的方法。首先建立由上煤层的能量密度确定的冲击危险性评价指标,运用该指标预测下煤层的冲击危险区;然后利用结构相似性指数对该预测方法的可行性进行定量评价。研究表明:运用所建立的指标确定的下煤层强冲击危险区域和下煤层开采过程监测的强冲击危险区相似度达到0.858 1;下层煤开采产生的强矿震(大于105 J)和冲击破坏区基本位于指标所确定的强冲击危险区。实践证明所建立的冲击危险性评价指标可有效的预测下煤层强冲击危险区域,提高了多煤层开采冲击矿压预测的准确率。
Aiming to the prediction of the rock burst risk of multiple coal seams in the western No.1 mining district of Zhangshuanglou Coal Mine, based on the principles of geological evolution, a method for rock burst risk assessment of the lower coal seam using the mining data of upper coal seam is proposed. Firstly, a risk assessment index determined by the energy density of the upper coal seam is established, and the index is used to predict the hazard area of lower coal seam. And then the structural similarity index is used to quantitatively evaluate the feasibility of the prediction method. The results show that the similarity between the predicted strong burst zone and monitored data during mining process of the lower coal seam reaches 0.858 1 determined by the established index. The strong mine earthquake(energy greater than 105 J) and the damage zone occurred during lower coal mining are basically located in the strong predicted danger zone determined by the indicators. The practice has proved that the established risk assessment index can effectively predict the area of strong rock burst hazard and will improve the accuracy of rock burst risk assessment of multiple coal seams mining.
Aiming to the prediction of the rock burst risk of multiple coal seams in the western No.1 mining district of Zhangshuanglou Coal Mine, based on the principles of geological evolution, a method for rock burst risk assessment of the lower coal seam using the mining data of upper coal seam is proposed. Firstly, a risk assessment index determined by the energy density of the upper coal seam is established, and the index is used to predict the hazard area of lower coal seam. And then the structural similarity index is used to quantitatively evaluate the feasibility of the prediction method. The results show that the similarity between the predicted strong burst zone and monitored data during mining process of the lower coal seam reaches 0.858 1 determined by the established index. The strong mine earthquake(energy greater than 105 J) and the damage zone occurred during lower coal mining are basically located in the strong predicted danger zone determined by the indicators. The practice has proved that the established risk assessment index can effectively predict the area of strong rock burst hazard and will improve the accuracy of rock burst risk assessment of multiple coal seams mining.
引文
[1]姜耀东,潘一山,姜福兴,等.我国煤炭开采中的冲击地压机理和防治[J].煤炭学报,2014,39(2):205.
[2]张宏伟,荣海,陈建强,等.基于地质动力区划的近直立特厚煤层冲击地压危险性评价[J].煤炭学报,2015,40(12):2755-2762.
[3]冯夏庭,张传庆,陈炳瑞,等.岩爆孕育过程的动态调控[J].岩石力学与工程学报,2012,31(10):1983.
[4]冯夏庭.智能岩石力学[M].北京:科学出版社,2008.
[5] ZHOU J, LI X B, ShI X Z. Long-term prediction modelof rockburst in underground openings using heuristic al-gorithms and support vector machines[J]. Safety Science,2012, 50(4):629-644.
[6] SHARAN S K. A finite element perturbation method forthe prediction of rockburst[J]. Computers&Structures,2007, 85(17/18):1304-1309.
[7] PENG S S. Coal Mine Ground Control[M]. XU Zhou:China University of Mining and Technology Press, 2013.
[8] KIM K M, KEMENY J.Effect of thermal shock andrapid unloading on mechanical rock properties[C]∥The 43rd US Rock Mechanics Symposium. Asheville,ARMA 09-84, 2009.
[9] DOU L M, CHEN T J, GONG S Y, et al. Rockbursthazard determination by usingcomputed tomographytechnology in deep workface[J]. Safety Science, 2012,(50):736-740.
[10]姜福兴,舒凑先,王存文.基于应力叠加回采工作面冲击危险性评价[J].岩石力学与工程学报,2015,34(12):2428-2435.
[11]齐庆新,李晓璐,赵善坤.煤矿冲击地压应力控制理论与实践[J].煤炭科学技术,2013,41(6):1-5.
[12] He J,Dou L, Gong S, et al. Rock burst assessment andprediction by dynamic and static stress analysis basedon micro-seismic monitoring[J]. International Journalof Rock Mechanics&Mining Sciences, 2017(93):46.
[13] Cao A, Wang C, Jing G, et al. Passive velocity tomog-raphy for mudstone under uniaxial compression usingacoustic emission[J]. Geosciences Journal, 2017, 21(1):93-109.
[14]曹安业,王常彬,窦林名,等.临近断层孤岛面开采动力显现机理与震动波CT动态预警[J].采矿与安全工程学报,2017,34(3):411-417.
[15]于斌.大同矿区侏罗系煤层群开采冲击地压防治技术[J].煤炭科学技术,2013,41(9):62-65.
[16]李剑锋,何岗,何江,等.采区煤柱区域微震规律分析及冲击地压防治技术[J].煤炭科学技术,2016,44(12):22-27.
[17]吴宝杨,孔令海,赵善坤.近距离煤层群开采条件下的冲击危险性数值分析[J].煤矿安全,2015,46(11):204-207.
[18] COOK NGW, HOCK E, Pretorius JPG, et al. RockMechanics Applied to the Study of Rock Bursts[J].Journal of the South African Institute of Mining andMetallurgy, 1965(66):435-528.
[19] Z. Wang, A C Bovik, L Lu. Why is image quality as-sessment so difficult[C]∥IEEE International Confer-ence on Acoustics, Speech,&Signal Processing, 2002.
[20] Cai Wu, Dou Linming, Gong Siyuan, et al. Quantita-tive analysis of seismic velocity tomography in rockburst hazard assessment[J]. Natural Hazards, 2015,75(3):2453-2465.
[21]窦林名,蔡武,巩思园,等.冲击危险性动态预测的震动波CT技术研究[J].煤炭学报,2014(2):238-244.
[2]张宏伟,荣海,陈建强,等.基于地质动力区划的近直立特厚煤层冲击地压危险性评价[J].煤炭学报,2015,40(12):2755-2762.
[3]冯夏庭,张传庆,陈炳瑞,等.岩爆孕育过程的动态调控[J].岩石力学与工程学报,2012,31(10):1983.
[4]冯夏庭.智能岩石力学[M].北京:科学出版社,2008.
[5] ZHOU J, LI X B, ShI X Z. Long-term prediction modelof rockburst in underground openings using heuristic al-gorithms and support vector machines[J]. Safety Science,2012, 50(4):629-644.
[6] SHARAN S K. A finite element perturbation method forthe prediction of rockburst[J]. Computers&Structures,2007, 85(17/18):1304-1309.
[7] PENG S S. Coal Mine Ground Control[M]. XU Zhou:China University of Mining and Technology Press, 2013.
[8] KIM K M, KEMENY J.Effect of thermal shock andrapid unloading on mechanical rock properties[C]∥The 43rd US Rock Mechanics Symposium. Asheville,ARMA 09-84, 2009.
[9] DOU L M, CHEN T J, GONG S Y, et al. Rockbursthazard determination by usingcomputed tomographytechnology in deep workface[J]. Safety Science, 2012,(50):736-740.
[10]姜福兴,舒凑先,王存文.基于应力叠加回采工作面冲击危险性评价[J].岩石力学与工程学报,2015,34(12):2428-2435.
[11]齐庆新,李晓璐,赵善坤.煤矿冲击地压应力控制理论与实践[J].煤炭科学技术,2013,41(6):1-5.
[12] He J,Dou L, Gong S, et al. Rock burst assessment andprediction by dynamic and static stress analysis basedon micro-seismic monitoring[J]. International Journalof Rock Mechanics&Mining Sciences, 2017(93):46.
[13] Cao A, Wang C, Jing G, et al. Passive velocity tomog-raphy for mudstone under uniaxial compression usingacoustic emission[J]. Geosciences Journal, 2017, 21(1):93-109.
[14]曹安业,王常彬,窦林名,等.临近断层孤岛面开采动力显现机理与震动波CT动态预警[J].采矿与安全工程学报,2017,34(3):411-417.
[15]于斌.大同矿区侏罗系煤层群开采冲击地压防治技术[J].煤炭科学技术,2013,41(9):62-65.
[16]李剑锋,何岗,何江,等.采区煤柱区域微震规律分析及冲击地压防治技术[J].煤炭科学技术,2016,44(12):22-27.
[17]吴宝杨,孔令海,赵善坤.近距离煤层群开采条件下的冲击危险性数值分析[J].煤矿安全,2015,46(11):204-207.
[18] COOK NGW, HOCK E, Pretorius JPG, et al. RockMechanics Applied to the Study of Rock Bursts[J].Journal of the South African Institute of Mining andMetallurgy, 1965(66):435-528.
[19] Z. Wang, A C Bovik, L Lu. Why is image quality as-sessment so difficult[C]∥IEEE International Confer-ence on Acoustics, Speech,&Signal Processing, 2002.
[20] Cai Wu, Dou Linming, Gong Siyuan, et al. Quantita-tive analysis of seismic velocity tomography in rockburst hazard assessment[J]. Natural Hazards, 2015,75(3):2453-2465.
[21]窦林名,蔡武,巩思园,等.冲击危险性动态预测的震动波CT技术研究[J].煤炭学报,2014(2):238-244.
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