采矿与安全工程学报
採礦與安全工程學報
채광여안전공정학보
JOURNAL OF MINING AND SAFETY ENGINEERING
2014年
1期
161-166
,共6页
雷文杰%李绍泉%商鹏%张瑶%许江%王振刚%李青松
雷文傑%李紹泉%商鵬%張瑤%許江%王振剛%李青鬆
뢰문걸%리소천%상붕%장요%허강%왕진강%리청송
煤与瓦斯突出模拟%自动触发%微震响应%小波包变换%时频特征
煤與瓦斯突齣模擬%自動觸髮%微震響應%小波包變換%時頻特徵
매여와사돌출모의%자동촉발%미진향응%소파포변환%시빈특정
coal & gas outburst simulation%automatic triggering%microseismic response%Wavelet Packet Transform%frequency characteristics
利用大型煤与瓦斯突出模拟试验系统,研制密封效果好、流变性能强的突出口材料及其制作工艺,模拟垂直和水平应力综合作用下自动触发煤与瓦斯突出的试验过程,利用高灵敏性的微震监测系统全程响应煤与瓦斯突出4个阶段,监测不同阶段突出腔体内的瓦斯压力,素描出突出孔洞大小和形状。微震响应信号分析频率0~2000 Hz,优选小波基函数,确定小波包最大分解层数,采用小波包分解分析模拟突出孕育、激发、发生和残余4个阶段微震信号时频特征;孕育阶段为高频信号,激发阶段信号频带范围逐渐加宽直至出现低频信号,突出阶段全频带响应,残余阶段信号由相对较低频带逐渐向高频过渡。研究成果为微震预警煤与瓦斯突出提供基础试验依据。
利用大型煤與瓦斯突齣模擬試驗繫統,研製密封效果好、流變性能彊的突齣口材料及其製作工藝,模擬垂直和水平應力綜閤作用下自動觸髮煤與瓦斯突齣的試驗過程,利用高靈敏性的微震鑑測繫統全程響應煤與瓦斯突齣4箇階段,鑑測不同階段突齣腔體內的瓦斯壓力,素描齣突齣孔洞大小和形狀。微震響應信號分析頻率0~2000 Hz,優選小波基函數,確定小波包最大分解層數,採用小波包分解分析模擬突齣孕育、激髮、髮生和殘餘4箇階段微震信號時頻特徵;孕育階段為高頻信號,激髮階段信號頻帶範圍逐漸加寬直至齣現低頻信號,突齣階段全頻帶響應,殘餘階段信號由相對較低頻帶逐漸嚮高頻過渡。研究成果為微震預警煤與瓦斯突齣提供基礎試驗依據。
이용대형매여와사돌출모의시험계통,연제밀봉효과호、류변성능강적돌출구재료급기제작공예,모의수직화수평응력종합작용하자동촉발매여와사돌출적시험과정,이용고령민성적미진감측계통전정향응매여와사돌출4개계단,감측불동계단돌출강체내적와사압력,소묘출돌출공동대소화형상。미진향응신호분석빈솔0~2000 Hz,우선소파기함수,학정소파포최대분해층수,채용소파포분해분석모의돌출잉육、격발、발생화잔여4개계단미진신호시빈특정;잉육계단위고빈신호,격발계단신호빈대범위축점가관직지출현저빈신호,돌출계단전빈대향응,잔여계단신호유상대교저빈대축점향고빈과도。연구성과위미진예경매여와사돌출제공기출시험의거。
In this paper, by using the large-scaled coal&gas outburst simulation experiment system, as well as the developed materials in cavity opening with the property of high sealing performance and powerful rheological behavior, the automatic outburst process was simulated under the comprehensive action of vetical and horizontal stresses. Meanwhile, the whole experiment processes were monitored by microseismic system with high sensitivity installed on the cavity surface. The gas pressure within the outburst assembly cavity in each stage was monitored, and the dimension and shape of the outburst cav-ity were outlined. The analyzed frequency ranges from 0 to 2 000 Hz. By the optimization of wavelet primary function, the maximum decomposition of wavelet packet was determined. Then, the frequency characteristics in the four stages was acquired by the decomposition and reconstitution of signals based on Wavelet Packet Transform. The results show that the signal frequencies in the inoculation stage are in the high frequency range, while the signals in the excitation stage start to broaden and the low frequency signals appear. In addition, the frequency in the outburst stage is distributed in the full-band, while the signals transmit from the low frequency band to high frequency in the residual stage. The research re-sults can provide reference to the early-warning of outburst by microseismic monitoring.