岩土力学
巖土力學
암토역학
ROCK AND SOIL MECHANICS
2015年
2期
381-386,522
,共7页
黄晓红%张艳博%田宝柱%刘祥鑫
黃曉紅%張豔博%田寶柱%劉祥鑫
황효홍%장염박%전보주%류상흠
声发射%小波分解%全相位频谱分析%相位差%源定位
聲髮射%小波分解%全相位頻譜分析%相位差%源定位
성발사%소파분해%전상위빈보분석%상위차%원정위
acoustic emission (AE)%wavelet transform%all phase spectrum analysis%phase difference%source location
针对岩石力学试验声发射时差定位算法中时延估计精度受诸多不确定因素的影响问题,提出全相位相位差法时延估计,通过小波分解与全相位频谱分析相结合求解相位差得到声发射信号的时延估计。利用小波分解找到不同传感器接收到的声发射信号中的同一主频的子带信号;对这些同一主频的子带信号分别做全相位频谱分析,得到每个子带信号中间样点的相位,再根据相位差与时间差的关系求出声发射信号到达不同传感器之间的时间差;进而利用时差定位法反演声发射源,实现了声发射源更精确的定位。在花岗岩(50 mm×100 mm×50 mm)上进行断铅试验,选取10个测点,经声发射监测验证结果表明,该时延估计方法能有效地减小声发射源定位的误差,提高声发射源的定位精度,平均绝对误差比美国PCI-2型声发射仪器定位结果提高约3 mm,该方法为反演声发射源提供了一种有效途径。
針對巖石力學試驗聲髮射時差定位算法中時延估計精度受諸多不確定因素的影響問題,提齣全相位相位差法時延估計,通過小波分解與全相位頻譜分析相結閤求解相位差得到聲髮射信號的時延估計。利用小波分解找到不同傳感器接收到的聲髮射信號中的同一主頻的子帶信號;對這些同一主頻的子帶信號分彆做全相位頻譜分析,得到每箇子帶信號中間樣點的相位,再根據相位差與時間差的關繫求齣聲髮射信號到達不同傳感器之間的時間差;進而利用時差定位法反縯聲髮射源,實現瞭聲髮射源更精確的定位。在花崗巖(50 mm×100 mm×50 mm)上進行斷鉛試驗,選取10箇測點,經聲髮射鑑測驗證結果錶明,該時延估計方法能有效地減小聲髮射源定位的誤差,提高聲髮射源的定位精度,平均絕對誤差比美國PCI-2型聲髮射儀器定位結果提高約3 mm,該方法為反縯聲髮射源提供瞭一種有效途徑。
침대암석역학시험성발사시차정위산법중시연고계정도수제다불학정인소적영향문제,제출전상위상위차법시연고계,통과소파분해여전상위빈보분석상결합구해상위차득도성발사신호적시연고계。이용소파분해조도불동전감기접수도적성발사신호중적동일주빈적자대신호;대저사동일주빈적자대신호분별주전상위빈보분석,득도매개자대신호중간양점적상위,재근거상위차여시간차적관계구출성발사신호도체불동전감기지간적시간차;진이이용시차정위법반연성발사원,실현료성발사원경정학적정위。재화강암(50 mm×100 mm×50 mm)상진행단연시험,선취10개측점,경성발사감측험증결과표명,해시연고계방법능유효지감소성발사원정위적오차,제고성발사원적정위정도,평균절대오차비미국PCI-2형성발사의기정위결과제고약3 mm,해방법위반연성발사원제공료일충유효도경。
Lots of uncertain factors affect the time delay estimation precision of time-difference location method in rock acoustic estimation(AE) experiments. Aiming at this problem, the all phase phase-difference time delay estimation method is proposed. Time delay of AE signal is deduced through the phase-difference obtained by combining wavelet decomposition and all phase frequency analysis. AE sub-band signals with the same dominant frequency from different sensors are found with wavelet decomposition. Then the phases of middle sample of every sub-band signal are obtained with all phase frequency analysis method for those chosen sub-band signals, and the time-differences of AE signals’ reaching different sensors are computed according to the relationship between phase-difference and time-difference. Finally, the AE source is located by the method of time-difference location. Experiments are conducted on a 50 mm×100 mm×50 mm granite stone, and AE source is generated by broken lead at ten different points. Under the lab environment, the results from the proposed AE location method indicate that using phase-difference based on wavelet transform and all phase frequency analysis can effectively improve the accuracy of location of AE source. Compared to the results obtained bythe PCI-2 acoustic emission instrument, the absolute error reduces by about 3 mm, so as to provide an effective way for AE source inversion.