某矿大型水体下采煤导水裂隙带高度分析  

Height Analysis of Water Flowing Fractured Zone of a Coal Mine Mining Under Large-scale Water Mass

作　　者：李建森 李志永 

机构地区：[1]中煤华晋能源有限责任公司王家岭煤矿,山西河津043300 [2]徐州岩土工程新技术有限公司,江苏徐州221116

出　　处：《煤矿安全》2012年第12期190-192,共3页Safety in Coal Mines

基　　金：国家自然科学基金资助项目(40772192)

摘　　要：在对某矿水文地质条件分析的基础上,讨论了其充水因素并确定了大型水体进入该矿井的3种途径。针对水体通过导水裂隙带进入矿井的这一途径,运用简易水文地质测试法与仰斜钻孔双端堵水导高观测法研究了导水裂隙带的发育规律,确定了裂采比为8.3～8.8范围,最后构建了包含采厚、采深、覆岩厚度、顶板抗压强度、倾角、泥岩比例6个影响因子的导水裂隙带的BP神经网络预测模型,通过实测数据证实了该模型具有良好的实用性。研究结果为该矿在大型水体下安全采煤、防水煤柱的留设提供了依据。On the basis of analyzing hydrogeological conditions,the paper discusses the water filling factors and determines three ways that the water flows into the mine.According to the way that water flows into the mine through water flowing fracture zones,the paper uses simple hydrology geology test method and upward inclined drilling two-end ponding water conducted high observation method to study the development laws of water flowing fractured zones,determines that the crack injection-production ratio is from 8.3 to 8.8,and finally the paper constructs the BP neural network model of water fracture zones which includes mining thickness,mining depth,the thickness of the overlying strata,roof compressive strength,inclination,mudstone proportion six impact factors.The measured datum show that the model has better practicability.The results provide the basis for safety mining and the setting of waterproof coal pillar under large water.

关 键 词：大型水体 导水裂隙带 水文地质条件 BP神经网络 

分 类 号：TD745[矿业工程—矿井通风与安全]