【摘要】 为了掌握井下煤层采掘工作面的煤体结构特征,有效预防采动后产生的煤层瓦斯动力灾害,采用了现场声波探测方法对工作面煤体进行了探测,对采集的波形数据进行了频谱分析和波速分析。数据表明,煤体声波的频谱主频值分布特征、波速分布特征和煤体的结构特征有很好的对应关系:如果煤体结构完整,且强度较高,则主频值分布基本不变化,且主频值在100 Hz以上;如果煤体结构破碎,且强度较低,则主频值分布变化大,且主频值在100 Hz以下。研究结果表明,利用声波探测中的频谱分析技术,能够有效判别煤体的结构特征,为煤层瓦斯动力灾害的预测预防提供了新的技术手段。更多还原

【Abstract】 In order to understand the coal mass structure features of the seam mining and excavation faces in underground mine and to effectively prevent the seam gas dynamic disaster occurred after the mining operation,the sonic wave detection method was applied to detect the site coal of the mining face.The spectrum analysis and the wave velocity analysis were conducted for the collected wave data.The data showed that there was good relevant relationship among the spectrum main frequency value distribution features of coal,wave velocity distribution features and coal structure features.When the coal structure completed with high strength,the main frequency value distribution would basically have no change and the main frequency value would be over 100 Hz.When the coal structure broken with low strength,the main frequency value distribution would have no big change and the main frequency value would be below 100 Hz.The study results showed that the application of the spectrum analysis technology in the sonic detection could be effectively to judge the structure features of the coal mass,which coud provide the new technical means to predict and prevent the seam gas dynamic disaster.更多还原