爆破振动信号的提升小波包分解及能量分布特征  

Decomposition and energy distribution of blasting vibration signal based on second generation wavelet packet(SGWP)

作　　者：路亮[1] 龙源[1] 谢全民[1,2] 李兴华[1] 纪冲[1] 赵长啸[1] 

机构地区：[1]解放军理工大学工程兵工程学院,江苏南京210007 [2]武汉军械士官学校弹药修理与销毁教研室,湖北武汉430075

出　　处：《爆炸与冲击》2013年第2期140-147,共8页Explosion and Shock Waves

基　　金：国家自然科学基金项目(51178460);国家自然科学基金青年科学基金项目(51204071);解放军理工大学预研基金项目(20110305)~~

摘　　要：针对传统小波包在小波基选取方面与实测爆破振动信号波形匹配欠佳的问题,提出了基于插值细分的二代小波构造方法,并通过引入移频算法,较好地解决了小波包隔点采样导致的频率混叠现象。结合应用实例,对实测信号进行多尺度的提升小波包分解后,得到了爆破振动各个频带的能量分布,总结了爆破振动信号频带能量的分布特征。分析结果表明,提升小波包(SGWP)算法可以真实反映振动信号的能量分布情况,为研究爆破震动效应下的结构安全提供有效的分析手段。Aimed to the poor match of the traditional wavelet packet transform with the measured blasting vibration signal in the choice of wavelet base, a method was proposed for the construction of second generation wavelets based on interpolation subdivision. And the frequency alias resulted by clot interlaced sampling was overcome by using an algorithm with frequency shift. Through multi-resolu- tion decomposition of measured signals, energy distribution in every frequency band was obtained, by which the distribution features of the blasting seismic signals were analyzed. Analysis results show that the algorithm for the SGWP transform can reflect the energy distribution of the blasting seismic signals and it is an effective approach to estimating the structure safety under blasting vibration conditions.

关 键 词：爆炸力学 提升小波包 插值细分 爆破振动 移频 能量分布 

分 类 号：O384[理学—流体力学] TD235.1[理学—力学]