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西部矿山大尺度采空区衍生动力灾害控制
引用本文:来兴平.西部矿山大尺度采空区衍生动力灾害控制[J].北京科技大学学报,2004,26(1):1-3.
作者姓名:来兴平
作者单位:西安科技大学能源学院,教育部西部矿山开采与灾害治理重点实验室,西安,710054;北京科技大学土木与环境工程学院,北京,100083
基金项目:陕西省自然科学基金 , 高等学校博士学科点专项科研项目
摘    要:西部矿山大尺度采空区衍生动力灾害是目前煤矿开采中面临的最大技术难题.为了给采取合理有效的防灾措施提供科学依据,对采空区衍生动力灾害主要特征、形成原因以及衍生灾害的实质等进行详细阐述.通过数字化监测与预防分析可以控制采空区衍生动力灾害有效方法.

关 键 词:西部矿山  大尺度采空区  衍生动力灾害  突然坍塌  西部矿山  大尺度  采空区  衍生动力灾害  灾害控制  Coal  Mines  West  Area  Scale  Large  Disasters  Dynamic  方法  分析  预防  监测  数字化  阐述  衍生灾害  特征
修稿时间:2003年5月15日

Derived Dynamic Disasters of Large Scale Mined-out Area for West Coal Mines
LAI Xingping The Key Lab of West Mine Mining and Hazard Control of the Ministry of Education,Xi'an University of Science and Technology,Xi'an ,China Civil and Environmental Engineering School,University of Science and Technology Beijing,Beijing ,China.Derived Dynamic Disasters of Large Scale Mined-out Area for West Coal Mines[J].Journal of University of Science and Technology Beijing,2004,26(1):1-3.
Authors:LAI Xingping The Key Lab of West Mine Mining and Hazard Control of the Ministry of Education  Xi'an University of Science and Technology  Xi'an  China Civil and Environmental Engineering School  University of Science and Technology Beijing  Beijing  China
Institution:LAI Xingping 1) The Key Lab of West Mine Mining and Hazard Control of the Ministry of Education,Xi'an University of Science and Technology,Xi'an 710054,China 2) Civil and Environmental Engineering School,University of Science and Technology Beijing,Beijing 100083,China
Abstract:It is the most important research for west coal mining presently to control the derived dynamical disasters of large scale mined-out area. In order to obtain reliable evidence to control the disasters, some characters, causes and essentials were analysed. The result shows that a technology based on digital monitoring and predicting can control the derived dynamical disasters of large scale mined-out area for west coal mines.
Keywords:west coal mine  large scale mined-out area  derived dynamic disaster  abruptly collapse  monitoring and predicting
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