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综采导水裂隙带多因素影响指标研究与高度预计
引用本文:胡小娟,李文平,曹丁涛,刘满才.综采导水裂隙带多因素影响指标研究与高度预计[J].煤炭学报,2012,37(4):613-620.
作者姓名:胡小娟  李文平  曹丁涛  刘满才
作者单位:中国矿业大学 资源与地球科学学院,江苏 徐州221008
基金项目:国家自然科学基金资助项目
摘    要:在分析了导水裂隙带发育高度受多种因素影响的前提下,提出了新的参数指标即硬岩岩性比例系数,代替顶板岩层单轴抗压强度,避免了现行规范中坚硬、中硬、软弱、极软弱顶板类型划分时单轴抗压强度统计不确定问题,以及未反映顶板软硬岩层组合结构问题。以39例综采导水裂隙带实测数据为基础,采用多元回归分析,得到综采导水裂隙带高度与煤层采高、硬岩岩性系数、工作面斜长、采深、开采推进速度多因素之间的非线性统计关系式,并用于淮南谢桥矿首采面的导水裂隙带高度预计。

关 键 词:综放开采  导水裂隙带高度  影响因素  多元回归分析  预测  
收稿时间:2011-04-25

Index of multiple factors and expected height of fully mechanized water flowing fractured zone
HU Xiao-juan,LI Wen-ping,CAO Ding-tao,LIU Man-cai.Index of multiple factors and expected height of fully mechanized water flowing fractured zone[J].Journal of China Coal Society,2012,37(4):613-620.
Authors:HU Xiao-juan  LI Wen-ping  CAO Ding-tao  LIU Man-cai
Affiliation:1.School of Resources and Geosciences,China University of Mining and Technology,Xuzhou 221008,China;2.Yanzhou Coal Mining Company Limited,Zoucheng 273500,China;3.Huainan Mining Group,Huainan 232052,China)
Abstract:On the premise of analysis on the development of water flowing fractured zone height by influence of various factors,a new parameter index namely hard-rock lithology ratio was proposed,which insteads of roof strata combination uniaxial compressive strength,avoids determination of statistical problem of uniaxial compressive strength by the type of hard and medium hard,weak,extremely weak roof in the current specification,and doesn’t reflect the hard and soft strata combination roof structure.Based on the measured data of fully mechanized water flowing fractured zone of 39 cases,using multiple regression analysis,many factors of non-linear statistic formulas were obtained among height of fully mechanized water flowing fractured zone and mining coal thickness,hard-rock lithology ratio,working face length,mining depth,mining face advance and used for the expected height of water flowing fractured zone in Huainan Xieqiao first face mining.
Keywords:full-mechanized caving mining  height of water flowing fractured zone  affecting factors  multiple regression analysis  prediction
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