| 煤矿采场覆岩破坏的微地震监测预报研究 |
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| 引用本文： | 杨永杰,陈绍杰,张兴民,逄焕东.煤矿采场覆岩破坏的微地震监测预报研究[J].岩土力学,2007,28(7):1407-1410. |
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| 作者姓名： | 杨永杰 陈绍杰 张兴民 逄焕东 |
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| 作者单位： | 山东科技大学,矿山灾害预防控制省部共建教育部重点实验室,青岛,266510 |
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| 摘 要： | 微地震现象是岩体破坏失稳发生前给出的重要信息,研究岩体变形破坏过程的微地震特征对于预报岩体破坏、保证矿山安全生产具有重要意义。采用山东科技大学自主研制的煤矿井下微震监测系统对华丰煤矿采场覆岩破坏过程进行了监测。通过对监测到的微地震事件定位计算,证实微地震发展演化与采场覆岩破坏密切相关。根据未失稳岩体微震事件频数、能量、距离的差分变化规律,能够较准确地提前预报岩体破坏,对于采用微地震监测技术解决煤矿井下岩体破坏预报具有重要指导意义。
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| 关 键 词： | 微地震 岩体 破裂 定位 监测 预报 |
| 文章编号： | 1000-7598-（2007）07-1407-04 |
| 收稿时间： | 2005-12-11 |
| 修稿时间： | 2005-12-11 |
Forecasting study on fracturing of overburden strata of coal face by microseism monitoring technology |
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| YANG Yong-jie,CHEN Shao-jie,ZHANG Xing-min,PANG Huan-dong.Forecasting study on fracturing of overburden strata of coal face by microseism monitoring technology[J].Rock and Soil Mechanics,2007,28(7):1407-1410. |
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| Authors: | YANG Yong-jie CHEN Shao-jie ZHANG Xing-min PANG Huan-dong |
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| Institution: | Key Laboratory of Mine Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao 266510, China |
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| Abstract: | Micro seismic phenomenon is an important information before fracturing of rock mass; studies of micro seismic characteristics of the fracturing process of rock mass are of important significance for prediction of fracturing and destabilizing of rock mass and guaranteeing the safety of mine production. The coal mine underground micro seismic monitoring system which is made by Shandong University of Science and Technology is used to monitor the behavior of overburden strata of mining face. The close relationship between evolvement of micro seismic and fracturing of the overburden strata is proved by location of the monitored micro seismic events. The fracturing of rock mass can be precisely predicted according to the change law of finite difference of frequency, energy and distance of micro seismic events. This is of important instructing significance for prediction of rupture and instability of the rock mass underground coal mine by micro seismic monitor technology. |
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| Keywords: | micro seism rock mass fracturing location monitoring prediction |
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