基于小波包技术地铁隧道分区爆破振动特性研究

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摘要小波包分析技术被广泛应用于爆破振动信号的幅频特性研究，其有助于分析爆破振动的传播规律与控制。本文依托青岛地铁交叠隧道工程分区爆破振动试验，获得了现场爆破振动监测数据，并采用小波包技术对爆破振动信号的频率、能量分布特征进行了研究。研究表明：自由面个数、已（未）开挖区等因素导致爆破振动特性的差异性。掏槽区爆破主振频率相对辅助区较小。爆破工作面前方（即隧道未开挖段）主频带随着水平距离的增加总体向高频移动，高频能量比重增加。而在工作面后方，主频带随着水平距离的增加总体向低频移动，低频能量比重增加。辅助区与掏槽区爆破振动能量随距离变化趋势基本一致，但是能量随距离的衰减速率不同。本文结合频率与能量因素，对既有隧道的安全保护提出建设性意见，以期保证隧道的安全稳定。

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	陈吉辉1
	仇文革1
	赵旭伟1
	王海亮2

关键词 ：小波包, 爆破振动, 能量谱, 主频带, 分区, 隧道

Abstract：Wavelet packet analysis is widely used in the amplitude frequency characteristics of blasting vibration signals. It is helpful to analyze the propagation law and control of blasting vibration. Based on the divisional blasting vibration test of Qingdao Metro overlapping tunnel, the monitoring data of blasting vibration are obtained. The frequency and energy distribution characteristics of tunnel blasting vibration signals are studied by using wavelet packet technology. The results show that the differences of blasting vibration characteristics are caused by the number of free surfaces and excavated area. The main frequency of blasting vibration in cutting area is smaller than that in auxiliary area. With the increase of horizontal distance, the main frequency band in front of the blasting face (i.e. the tunnel not excavated section) generally moves to high frequency, and the proportion of high frequency energy increases. At the back of the working face, the main frequency band moves to low frequency with the increase of horizontal distance, and the proportion of low frequency energy increases. The variation trend of blasting vibration energy with distance in auxiliary area and cutting area is basically the same, but the attenuation rate of energy with distance is different. Combined with the frequency and energy factors, this paper puts forward constructive suggestions on the safety protection of the existing tunnel, so as to ensure the safety and stability of the tunnel.

Key words： wavelet packet blasting vibration energy spectrum main frequency band subarea tunnel

收稿日期: 2020-12-04 出版日期: 2022-03-28

引用本文:

陈吉辉1，仇文革1，赵旭伟1，王海亮2. 基于小波包技术地铁隧道分区爆破振动特性研究[J]. 振动与冲击, 2022, 41(6): 222-228.
CHEN Jihui1,QIU Wenge1,ZHAO Xuwei1,WANG Hailiang2. Vibration characteristics analysis of the metro tunnel subarea blasting based on wavelet packet technique. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(6): 222-228.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2022/V41/I6/222

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