单段爆破振动信号频带能量分布特征的小波包分析
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摘要
爆破振动分析是研究爆破振动危害控制的基础,也是控制爆破振动危害的前提。根据爆破振动信号具有短时非平稳的特点,利用小波包分析技术对满足分析要求的单段微差爆破振动信号的能量分布特征进行研究。首先,简略地介绍了小波变换与小波包分析的特点。其次,基于MATLAB对单段爆破振动信号进行小波包分析,得到了爆破振动信号在不同频带上的能量分布图。最后,总结了单段爆破振动信号频带能量的分布特征。结果表明,在单段爆破中,爆破震动信号成分主要以中高频(39Hz~156Hz)为主,低频成分(39Hz以下)所占比例极少。
Blast vibration analysis is a foundation for studying control of blast vibration damage and provides a prerequisite to controlling blast vibration. Based on the characteristic of a short-time non-stationary random signal, the feature of energy distribution of a single deck blast vibration signal is investigated by means of wavelet packet method. Firstly, the characteristics of wavelet transformation and wavelet packet analysis are introduced briefly. Secondly, three single deck blast vibration signals are analyzed by wavelet packet based on software MATLAB, and change of energy distribution curves at different frequency bands are obtained. Finally, the change law of energy distribution of single deck blast vibration signals is analyzed. The results show that the dominant frequency componems of single deck blast vibration signals are concentrated at the higher frequency band(39 Hz-156Hz)and the ratio of the energy of low frequency components(less than 39 Hz) to the total energy is lower.
Blast vibration analysis is a foundation for studying control of blast vibration damage and provides a prerequisite to controlling blast vibration. Based on the characteristic of a short-time non-stationary random signal, the feature of energy distribution of a single deck blast vibration signal is investigated by means of wavelet packet method. Firstly, the characteristics of wavelet transformation and wavelet packet analysis are introduced briefly. Secondly, three single deck blast vibration signals are analyzed by wavelet packet based on software MATLAB, and change of energy distribution curves at different frequency bands are obtained. Finally, the change law of energy distribution of single deck blast vibration signals is analyzed. The results show that the dominant frequency componems of single deck blast vibration signals are concentrated at the higher frequency band(39 Hz-156Hz)and the ratio of the energy of low frequency components(less than 39 Hz) to the total energy is lower.
引文
[1]李洪涛,舒大强.爆破震动衰减规律的影响因素[J].《武汉大学学报》(工学版),2005,38(1):79—82.
[2]李宏男,王丙乾,林皋.爆破地震效应若干问题的研究[J].爆炸与冲击,1996,16(1):61—67.
[3]张立国,龚敏,于亚伦.爆破振动频率预测及其回归分析[J].辽宁工程技术大学学报,2005,24(2):187—189.
[4]Ma Guowei,Hao Hong,Zhou Yingxin.Assessment of struc-ture damage to blasting induced[J].Engineering Structures,2000,(22):1378—1389.
[5]Charles K Chui.An introduction to wavelets[M].New York:Academic Press,Inc.1992:297—333.
[6]胡昌华,张军波.基于MATLAB的系统分析与设计———小波分析[M].西安:西安电子科技大学,2000:265—266.
[7]王宏禹.非平稳随机信号分析与处理[M].北京:国防工业出版社,1999:12—20.
[8]李友荣,曾法力,吕勇等.小波包分析在齿轮故障诊断中的应用[J].振动与冲击,2005,24(5):101—103.
[9]郭亚,应怀樵,武颖奎.小波在频率发生较小变化识别中的应用研究[J].振动与冲击,2005,24(5):99—100.
[10]林大超,施惠基,白春华等.爆炸地震效应的时频分析[J].爆炸与冲击,2003,23(1):31—36.
[11]凌同华,李夕兵.用时-能密度法确定微差爆破中的实际延迟时间[J].岩石力学与工程学报,2004,23(13):2266—2270.
[12]凌同华.爆破震动效应及其灾害的主动控制[D].长沙:中南大学,2004.
[2]李宏男,王丙乾,林皋.爆破地震效应若干问题的研究[J].爆炸与冲击,1996,16(1):61—67.
[3]张立国,龚敏,于亚伦.爆破振动频率预测及其回归分析[J].辽宁工程技术大学学报,2005,24(2):187—189.
[4]Ma Guowei,Hao Hong,Zhou Yingxin.Assessment of struc-ture damage to blasting induced[J].Engineering Structures,2000,(22):1378—1389.
[5]Charles K Chui.An introduction to wavelets[M].New York:Academic Press,Inc.1992:297—333.
[6]胡昌华,张军波.基于MATLAB的系统分析与设计———小波分析[M].西安:西安电子科技大学,2000:265—266.
[7]王宏禹.非平稳随机信号分析与处理[M].北京:国防工业出版社,1999:12—20.
[8]李友荣,曾法力,吕勇等.小波包分析在齿轮故障诊断中的应用[J].振动与冲击,2005,24(5):101—103.
[9]郭亚,应怀樵,武颖奎.小波在频率发生较小变化识别中的应用研究[J].振动与冲击,2005,24(5):99—100.
[10]林大超,施惠基,白春华等.爆炸地震效应的时频分析[J].爆炸与冲击,2003,23(1):31—36.
[11]凌同华,李夕兵.用时-能密度法确定微差爆破中的实际延迟时间[J].岩石力学与工程学报,2004,23(13):2266—2270.
[12]凌同华.爆破震动效应及其灾害的主动控制[D].长沙:中南大学,2004.
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