基于小波包理论的爆破振动信号能量分析研究
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摘要
爆破振动信号是一种极为复杂的非平稳信号,具有持时短、突变快的特点,本文结合实际爆破监测数据,利用小波包变化提取信号的频带能量分布特征,对爆破振动信号中不同频带的能量特征进行了分析研究。研究结果表明:爆破振动信号能量绝大部分集中在0～200Hz,在这一频带根据爆破条件不同其能量又分布于不同子频带。随着爆破药量、爆破地震波传播距离的增大,低频带所占能量不断增加。因此该方法对爆破地震波传播及破坏机理,以及爆破降振研究是一种有效的方法。
Blasting vibration signals is a very complex non-stationary signal,with the characters of short duration and abrupt change.The different frequency bands energy features of blasting vibration signals from blasting engineering were decomposed and analyzed by wavelet packet method in this paper.The results show that most of blasting vibration signal energy concentrated in the frequency band of 0～200Hz,the frequency band can be divided into many sub-band when the blast conditions changed.With the explosive dose and blasting seismic wave propagation distance increases,the low frequency band energy of blasting vibration signals increase.This method is effective for studying the blasting seismic wave propagation mechanism,specially,for reducing vibration of blasting.
Blasting vibration signals is a very complex non-stationary signal,with the characters of short duration and abrupt change.The different frequency bands energy features of blasting vibration signals from blasting engineering were decomposed and analyzed by wavelet packet method in this paper.The results show that most of blasting vibration signal energy concentrated in the frequency band of 0～200Hz,the frequency band can be divided into many sub-band when the blast conditions changed.With the explosive dose and blasting seismic wave propagation distance increases,the low frequency band energy of blasting vibration signals increase.This method is effective for studying the blasting seismic wave propagation mechanism,specially,for reducing vibration of blasting.
引文
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[2]孟吉复,惠鸿斌.爆破测试技术[M].冶金工业出版社.1992.
[3]李夕兵,凌同华,张义平.爆破震动信号分析理论与技术[M].北京:科学出版社,2009.
[4]凌同华.爆破地震效应及其灾害的主动控制[D].长沙:中南大学,2002.
[5]何军,于亚伦,梁文基.爆破振动信号的小波分析[J].岩土工程学报,1998,20(1):47～50.
[6]冉启文,谭立英.小波分析与分数傅立叶变换及应用[M].北京:国防工业出版社,2002.
[7]成礼智,王红霞,罗永.小波的理论与应用[M].北京:科学出版社,2004.
[8]DaubechiesI.The wavelet transform,time-frequency localization and signal analysis[J].IEEE transactions on information theory,1990,36(5):961～1005.
[9]飞思科技产品研发中心.小波分析理论与MATLAB7实现[M].北京:电子工业出版社,2005.
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