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爆破振动小波包时频特征提取与发展规律
引用本文:宋光明,曾新吾,陈寿如,吴从师.爆破振动小波包时频特征提取与发展规律[J].有色金属,2003,55(1):115-120.
作者姓名:宋光明  曾新吾  陈寿如  吴从师
作者单位:1. 国防科学技术大学理学院应用物理系,长沙,410073
2. 中南大学资源环境与建筑工程学院,长沙,410083
3. 长沙交通学院河海系,长沙,410076
基金项目:国家自然科学基金资助项目 (40 0 740 2 5 )
摘    要:对爆破振动波形信号进行小波包分析,建立预测单段,多段波形的小波包分析模型。结果表明,各细节信号的峰值质点振速随段药量增加而增加,和比例距离对数坐标呈线性关系,细节信号的主振频带分布受段微差间隔的强烈影响。小波包细节信号主振频带分布范围及优势频率随岩土体完整性系数减小而增大,小波包分析模型。可有效预测爆破振动波形的峰值质点振速,主振频带分布及衰减特征。

关 键 词:爆炸力学  波形预测  小波包分析模型  爆破振动  主振频带
文章编号:1001-0211(2003)01-0115-06
修稿时间:2002年3月11日

Time-frequency Characteristics Extracting and Expanding Rules of Blasting Vibration With Wavelet Packets Analysis
SONG Guangming ,ZENG Xinwu ,CHEN Shouru ,WU Congshi.Time-frequency Characteristics Extracting and Expanding Rules of Blasting Vibration With Wavelet Packets Analysis[J].Nonferrous Metals,2003,55(1):115-120.
Authors:SONG Guangming  ZENG Xinwu  CHEN Shouru  WU Congshi
Affiliation:SONG Guangming 1,ZENG Xinwu 1,CHEN Shouru 2,WU Congshi 3
Abstract:The blasting vibration waveforms (or signals) are investigated with the wavelet packets analysis, and the wavelet packets analysis models for predicting the single interval waveforms and multi interval delay waveforms are established on the basis of the wavelet packets reconstruction theory The peak particle velocity of the detailed signals increases with the single charge increasing and is linearly dependent on the square root scaled distance in logarithm domain The distribution of dominant frequency bandwidth is badly affected by interval delay time The dominant frequency bandwidth expands and the dominant frequency increases with the decrease of the integrality coefficient of rock mass or soil The peak particle velocity, dominant frequency bandwidth distribution, and attenuating characteristics of blasting vibration waveforms effective prediction to the peak particle velocity can be predicted by the wavelet packets models.
Keywords:explosive mechanics  waveform prediction  wavelet packets analysis model  blasting vibration  dominant  frequency  bandwidth
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