工程科学学报，第41卷，第7期：874-881,2019年7月 Chinese Journal of Engineering,Vol.41,No.7:874-881,July 2019 D0L:10.13374/j.issn2095-9389.2019.07.005;htp:/journals.usth.edu.cm 基于全波形的煤样单轴压缩破坏声电时频特征 娄全123)，何学秋3)四，宋大钊)，李振雷)，王安虎)，孙冉) 1)北京科技大学土木与资源工程学院，北京1000832)河南城建学院市政与环境工程学院，平顶山467036 3)中国矿业大学（北京）应急管理与安全工程学院，北京100083 ☒通信作者，E-mail:hexq@usth.edu.cn 摘要建立了煤岩受载破坏声电全波形同步采集系统，对煤样单轴压缩破坏过程中的声电信号进行了全波形采集，研究了 声电信号能量与载荷降之间的相关关系，并分析了声电信号的频谱特征.结果表明：(1)煤体受载破坏过程中产生显著的声 电信号：电磁辐射信号是阵发性的，仅伴随载荷降和较高强度声发射信号出现：(2)相对于声发射，电磁辐射与载荷降有更好 的相关性：与煤体受载破坏的能量释放累积量相关联的声电信号能量和载荷降累计值三者之间均呈高度正相关：(3)电磁辐 射优势频带窄于声发射，前者主要集中在1~25kHz,后者主要集中在1~280kHz:受同一裂纹萌生和扩展的影响，两者在频谱 和主频分布上都有近似的低频成分 关键词煤体破坏：全波形：声发射：电磁辐射：时频特征 分类号TD76 Time-frequency characteristics of acoustic-electric signals induced by coal fracture under uniaxial compression based on full-waveform LOU Quan'2),HE Xue-qiu)SONG Da-zhao),LI Zhen-lei),WANG An-hu),SUN Ran!) 1)School of Civil and Resource Engineering.University of Science and Technology Beijing,Beijing 100083.China 2)School of Municipal and Environmental Engineering,Henan University of Urban Construction,Pingdingshan 467036,China 3)School of Emergency Management and Safety Engineering.China University of Mining and Technology (Beijing),Beijing 100083,China Corresponding author,E-mail:hexq@ustb.edu.cn ABSTRACT The geological conditions of coal mines in China are complicated.In recent years,with the continuous increase of in- tensity and depth of coal mining,coal and rock dynamic disasters are becoming more and more serious,and an important factor threat- ening the safety of coal mining.The accurate monitoring and early warning of coal and rock dynamic disasters are of great significance for disaster prevention.A large number of experiments conducted on both laboratory and field scales have demonstrated that the energy accumulated in rock material under loading can be released in the forms of acoustic emission (AE),electromagnetic radiation (EMR),etc.Therefore,AE and EMR,as the real-time,dynamic and continuous geophysical monitoring methods,have been widely used and played important roles in the field of monitoring and early-warning of coal and rock dynamic disasters in mines.To further study the time-frequency characteristics of AE and EMR and the relationships between these characteristics and load,and to provide the experimental basis for the monitoring and early warning of coal and rock dynamic disasters,an acoustic-electric full-waveform syn- chronous acquisition system of coal and rock fracture under loading was constructed in this paper.Using this system,the full-waveforms of AE and EMR of failure processes of coal samples under uniaxial compression were collected.The correlations among AE energy, EMR energy and load drop were studied,and the spectral characteristics of AE and EMR were analyzed.The results show that, (1)obvious acoustic-electric signals are emitted during the process of coal failure under loading.EMR is the paroxysmal signal,only 收稿日期：2018-05-28 基金项目：国家自然科学基金资助项目(51634001,51774023)：国家重点研发计划资助项目(2016YFC0801408)工程科学学报,第 41 卷,第 7 期:874鄄鄄881,2019 年 7 月 Chinese Journal of Engineering, Vol. 41, No. 7: 874鄄鄄881, July 2019 DOI: 10. 13374 / j. issn2095鄄鄄9389. 2019. 07. 005; http: / / journals. ustb. edu. cn 基于全波形的煤样单轴压缩破坏声电时频特征 娄 全1,2,3) , 何学秋1,3) 苣 , 宋大钊1) , 李振雷1) , 王安虎1) , 孙 冉1) 1) 北京科技大学土木与资源工程学院, 北京 100083 2) 河南城建学院市政与环境工程学院, 平顶山 467036 3) 中国矿业大学(北京)应急管理与安全工程学院, 北京 100083 苣通信作者, E鄄mail: hexq@ ustb. edu. cn 摘 要 建立了煤岩受载破坏声电全波形同步采集系统,对煤样单轴压缩破坏过程中的声电信号进行了全波形采集,研究了 声电信号能量与载荷降之间的相关关系,并分析了声电信号的频谱特征. 结果表明:(1)煤体受载破坏过程中产生显著的声 电信号;电磁辐射信号是阵发性的,仅伴随载荷降和较高强度声发射信号出现;(2)相对于声发射,电磁辐射与载荷降有更好 的相关性;与煤体受载破坏的能量释放累积量相关联的声电信号能量和载荷降累计值三者之间均呈高度正相关;(3)电磁辐 射优势频带窄于声发射,前者主要集中在 1 ~ 25 kHz,后者主要集中在 1 ~ 280 kHz;受同一裂纹萌生和扩展的影响,两者在频谱 和主频分布上都有近似的低频成分. 关键词 煤体破坏; 全波形; 声发射; 电磁辐射; 时频特征 分类号 TD76 收稿日期: 2018鄄鄄05鄄鄄28 基金项目: 国家自然科学基金资助项目(51634001, 51774023);国家重点研发计划资助项目(2016YFC0801408) Time鄄鄄frequency characteristics of acoustic鄄鄄 electric signals induced by coal fracture under uniaxial compression based on full鄄waveform LOU Quan 1,2,3) , HE Xue鄄qiu 1,3) 苣 , SONG Da鄄zhao 1) , LI Zhen鄄lei 1) , WANG An鄄hu 1) , SUN Ran 1) 1) School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China 2) School of Municipal and Environmental Engineering, Henan University of Urban Construction, Pingdingshan 467036, China 3) School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China 苣Corresponding author, E鄄mail: hexq@ ustb. edu. cn ABSTRACT The geological conditions of coal mines in China are complicated. In recent years, with the continuous increase of in鄄 tensity and depth of coal mining, coal and rock dynamic disasters are becoming more and more serious, and an important factor threat鄄 ening the safety of coal mining. The accurate monitoring and early warning of coal and rock dynamic disasters are of great significance for disaster prevention. A large number of experiments conducted on both laboratory and field scales have demonstrated that the energy accumulated in rock material under loading can be released in the forms of acoustic emission ( AE), electromagnetic radiation (EMR), etc. Therefore, AE and EMR, as the real鄄time, dynamic and continuous geophysical monitoring methods, have been widely used and played important roles in the field of monitoring and early鄄warning of coal and rock dynamic disasters in mines. To further study the time鄄鄄frequency characteristics of AE and EMR and the relationships between these characteristics and load, and to provide the experimental basis for the monitoring and early warning of coal and rock dynamic disasters, an acoustic鄄electric full鄄waveform syn鄄 chronous acquisition system of coal and rock fracture under loading was constructed in this paper. Using this system, the full鄄waveforms of AE and EMR of failure processes of coal samples under uniaxial compression were collected. The correlations among AE energy, EMR energy and load drop were studied, and the spectral characteristics of AE and EMR were analyzed. The results show that, (1) obvious acoustic鄄electric signals are emitted during the process of coal failure under loading. EMR is the paroxysmal signal, only