山岭隧道爆破振动信号小波包及能量分析  

Wavelet Packet and Energy Analysis of Blasting Vibration Signal of Mountain Tunnel

作　　者：蒲坚 崔硕 黄丹[3] 陈鹏[3] PU Jian;CUI Shuo;HUANG Dan;CHEN Peng(Guangdong Province Guangdong Traffic Jieyang-Huilai Expressway Management Center,Jieyang 515325,China;The Second Highway Investigation and Design Institute of Ministry of Communication of China,Wuhan 430000,China;School of Civil Engineering and Mechanics,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]广东省南粤交通揭惠高速公路管理中心,揭阳515325 [2]中交第二公路勘察设计研究院有限公司,武汉430000 [3]华中科技大学土木工程与力学学院,武汉430074

出　　处：《交通科技》2018年第2期61-65,共5页Transportation Science & Technology

基　　金：广东省交通厅科技项目(201502002)资助

摘　　要：采用MATLAB傅里叶变化和小波包变换对实测爆破振动信号进行时频分析,画出对应的变换频谱图、小波重构波形图,通过对比爆破信号的重构波形图结果,分析2种不同方法的优缺点,探讨爆破振动信号的多主频带和能量分布特征以及小波包分析法的优势,找出相关优势频率段。研究表明,小波包分析能更好地体现爆破振动信号的多主频分布特征,其能量分布较为集中,优势频带包含了振动信号70%以上的能量。The time-frequency analysis of measured blasting vibration signals is carried out by MATLAB Fourier transform and wavelet packet transform.The corresponding transform spectrum diagram and wavelet reconstruction waveform diagram are drawn.The result of the reconstructed waveform is compared to analyze of the advantages and disadvantages of different two methods,the characteristics of the multi main frequency band and energy distribution of blasting vibration signal,and the advantages of wavelet analysis methodare also discussed to find out the frequency segment of the relative advantage.Research shows that the characteristics of multiple main frequency distribution of blasting vibration signals can be better reflected by wavelet packet analysis,its energy distribution is also concentrated,and the dominant frequency band contains more than 70%of the vibration signal.

关 键 词：爆破振动 傅里叶分析 小波包分析 能量分布特征 

分 类 号：U455.6[建筑科学—桥梁与隧道工程]