李氏指数在爆破振动信号奇异性分析中的应用
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摘要
为更深入地研究爆破振动信号中携带的地质特征等奇异性信息,进行了完整场地、减震沟和预裂缝条件下的爆破振动试验,并在此基础上,运用小波变换模极大值方法对试验数据进行分析处理。分析表明:该爆破试验场地上的爆破振动信号在lb a为4.5~6.0的范围内具有稳定的李氏指数,并且该指数能够很好地刻画爆破地震波携带的场地特征等奇异性信息。L ipsch itz指数曲线图较为直观地反映了爆破场地的差异,同时得到了3种条件下的李氏指数分别为-3.69~-1.88-、3.54~-1.71-、4.14~-1.58,验证了减震沟比预裂缝有更好的减震效果。
In order to study the singularity information signal of blasting vibration signal,some experiments were done in the rude field,damping ditch field and split field.WTMM(wavelet tronsform moulus maxima) was used to process the experiment data with the following conclusions.First,blasting vibration signal has steady Lipschitz exponent when lb a is between 4.5 and 6.0,and the Lipschitz exponent can describe the charater of blasting vibration field and other singularity information preferably.Second,the curve of Lipschitz exponent reflects the difference among the field.At the same time,the Lipschitz exponent are-3.69～-1.88、-3.54～-1.71、-4.14～(-1.58) in turn and the damping effect of damping ditch is better than the split.
In order to study the singularity information signal of blasting vibration signal,some experiments were done in the rude field,damping ditch field and split field.WTMM(wavelet tronsform moulus maxima) was used to process the experiment data with the following conclusions.First,blasting vibration signal has steady Lipschitz exponent when lb a is between 4.5 and 6.0,and the Lipschitz exponent can describe the charater of blasting vibration field and other singularity information preferably.Second,the curve of Lipschitz exponent reflects the difference among the field.At the same time,the Lipschitz exponent are-3.69～-1.88、-3.54～-1.71、-4.14～(-1.58) in turn and the damping effect of damping ditch is better than the split.
引文
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[2]娄建武,龙源.岩石介质中爆破地震波的沟槽效应及作用范围研究[J].矿冶工程,2004,24(1):11-15.
[3]李晓光,徐德龙,范海宏.大颗粒流化床中颗粒反射光纤信号的多重分形特性[J].西安交通大学学报,2005,39(11):1260-1263.
[4]LAW N F,S IU W C.Issues of filter for b inaryw ave let transform[C].∥IEEE In ternationa l Con fer-ence on speech and s igna l process ing.Hong K ong:C en ter forM u ltim ed ia S igna l P rocess ing,2002.
[5]娄建武,龙源,周翔.爆破振动信号的特征提取与识别技术研究[J].振动与冲击,2003,22(3):80-83.
[6]李会方,俞卞章.基于W TMM的多重分形图像去噪算法[J].计算机工程与应用,2003,25(4)54-56.
[7]胡广书.现代信号处理教程[M].北京:清华大学出版社,2004.
[8]SW AN SON M D,TW EF IK A H.A b inary w ave letdecom pos ition of b inary im ages[J].IEEE T ransactionIm age P rocess ing for Pub lication,1996,5(12):1637-1650.
[9]訾艳阳,胥永刚,何正嘉.离散振动信号分形盒维数的改进算法和应用[J].机械科学与技术,2003,20(3):52-54.
[10]凌同华,李夕兵.用小波变换识别微差爆破中的实际延迟时间[J].湖南科技大学学报,2004,19(2):21-23.
[11]宋光明,曾新吾,陈寿如,等.爆破条件对爆破振动信号分析中小波包时频特征的影响[J].工程爆破,2002,8(3):5-12.
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