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爆心距对爆破振动信号频带能量分布的影响
引用本文:凌同华 李夕兵 王桂尧 陈文胜. 爆心距对爆破振动信号频带能量分布的影响[J]. 土木建筑与环境工程, 2007, 29(2): 53-55
作者姓名:凌同华 李夕兵 王桂尧 陈文胜
作者单位:长沙理工大学,桥梁与结构工程学院,湖南长沙,410076;中南大学,资源与安全工程学院,湖南长沙,410083;中南大学,资源与安全工程学院,湖南长沙,410083;长沙理工大学,桥梁与结构工程学院,湖南长沙,410076
基金项目:国家自然科学基金(50678028);中国博士后基金(2004036430)
摘    要: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多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,总结了爆破振动信号频带能量的分布规律,重点探讨了爆心距对爆破振动信号频带能量分布的影响。结果表明,爆破震动信号在传播过程中,其主振频带有往低频发展的趋势,且宽度增加。

关 键 词:爆破振动  能量分布  小波包分析  非平稳信号  爆心距
修稿时间:2006-12-25

Influence of Distance from Blasting Center on Frequency Bands Energy Distribution of Blasting Vibration Signals
LING Tong- hu,LI Xi- bing,WANG Gui- yao,CHEN Wen- sheng. Influence of Distance from Blasting Center on Frequency Bands Energy Distribution of Blasting Vibration Signals[J]. Journal of Civil,Architectrual & Environment Engineering, 2007, 29(2): 53-55
Authors:LING Tong- hu  LI Xi- bing  WANG Gui- yao  CHEN Wen- sheng
Affiliation:1. School of Bridge and Structural Engineering, Changsha University of Science and Technology, Changsha 410083, China; 2. School of Resources and Safety Engineering, Central South University,Changsha 410083,China
Abstract:Based on the character of short-time non-stationary random signal, the feature of energy distribution of multi-interval-time in millisecond blast signals was investigated by means of the wavelet packet method. Firstly, the characters of wavelet transform and wavelet packet analysis were introduced. Secondly, three single deck blast vibration signals were analyzed by wavelet packet based on software MATLAB and the change of energy distribution curve at different frequency bands was obtained. Finally, the law of energy distribution of single deck blast vibration signals was analyzed and the influence of distance from blasting center on frequency bands energy distribution of blasting vibration signals was principally explored. The results show that the dominant frequency bands of blast vibration signals tend to be low, and its frequency band becomes wider.
Keywords:blast vibration   energy distribution    wavelet packet analysis    non- stationary random signal    distance from blasting center
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