付晓强;俞缙;刘纪峰;黄凌君;戴良玉;康海鑫;
FU Xiao-qiang;YU Jin;LIU Ji-feng;HUANG Ling-jun;DAI Liang-yu;KANG Hai-xin;School of Civil Engineering, Sanming University;Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University;Fujian Provincial Key Laboratory of Engineering Material & Structure Reinforcement;Sanming Coffer Fine Chemical Industrial Co.,Ltd.;

• 1:三明学院建筑工程学院
• 2:华侨大学福建省隧道与城市地下空间工程技术研究中心
• 3:工程材料与结构加固福建省高等学校重点实验室
• 4:三明科飞产气新材料股份有限公司

摘要(Abstract)：

为了消除隧道爆破振动信号局部畸变对分析结果的影响，采用变分模态分解算法对三向信号中的趋势项进行了消除，获得了校正后的特征信号。根据特征信号时频谱确定爆破能量频域区间，利用同步挤压小波变换优良的信号解析和重构能力，对所确定的频带进行重构得到能反映爆破特征的真实信号并对其瞬时能量和边际能量分布特性进行了提取。分析结果表明：爆破信号的趋势项畸变由低频分量引起，噪声畸变由高频分量产生，变分模态分解可实现信号畸变校正，同步挤压小波变换重构可消除噪声干扰。组合算法为爆破畸变信号的辨识分类和特征提取提供了新的途径。
In order to eliminate the disturbance of local distortion of tunnel blasting vibration signals on analysis results, the trend terms in three-direction signals were eliminated by using the variational mode decomposition algorithm, and the corrected characteristic signals were obtained.The frequency domain of blast energy is determined according to the time spectrum of the characteristic signal, and by using the excellent signal analysis and reconstruction ability of the wavelet synchrosqueezed transform, the real signal which can reflect the blasting characteristics was reconstructed by delineating the frequency band, and the instantaneous energy and marginal energy distribution characteristics were extracted.The results show that the trend term distortion of blasting signals is caused by the low frequency component and the noise distortion is caused by the high frequency component.The variational mode decomposition can correct the signal distortion and the synchrosqueezed wavelet transform reconstruction can eliminate the noise interference. The combined algorithm provides a new way for identifying and extracting blasting distortion signals.

关键词(KeyWords)： 隧道爆破;爆破振动;变分模态分解;同步挤压小波变换;时频分析
tunnel blasting;blasting vibration;variational mode decomposition;synchrosqueezed wavelet transform;time-frequency analysis

Abstract:

Keywords:

基金项目(Foundation): 福建省自然科学基金资助项目(2020J01390);; 三明学院国家基金培育计划资助项目(PYT2008);三明学院引进高层次人才科研启动经费资助项目(18YG13);; 国家自然科学基金面上资助项目(51874144,51679093)

作者(Authors): 付晓强;俞缙;刘纪峰;黄凌君;戴良玉;康海鑫;
FU Xiao-qiang;YU Jin;LIU Ji-feng;HUANG Ling-jun;DAI Liang-yu;KANG Hai-xin;School of Civil Engineering, Sanming University;Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University;Fujian Provincial Key Laboratory of Engineering Material & Structure Reinforcement;Sanming Coffer Fine Chemical Industrial Co.,Ltd.;

DOI: 10.19931/j.EB.20200186

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