基于小波变换时能密度法的爆破振动信号分析
DOI:
作者:
作者单位:

作者简介:

范明浩(1987—),男,浙江八咏公路工程有限公司高级工程师

通讯作者:

中图分类号:

TD235.1

基金项目:

国家自然科学基金项目(52078061);湖南省研究生科学创新项目(CX20200842)


Analysis of blasting vibration characteristic signal based on time-energy density analysis of wavelet transform
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    当前,爆破振动信号分析以时频分析为主,尚未从能量的角度对信号进行研究。本研究基于小波变换时能密度法对爆破振动信号进行分析。先利用Mallat算法对信号的局部信息进行小波分解,再根据时能密度曲线得到各时刻的能量大小,然后统计各频带信号的能量密度随时间变化的数据,最后采用该方法对里岩垄坑2号双洞隧道的5组爆破振动信号进行了分析。研究结果表明:距离爆心越近,爆破释放的能量就越强。其中,小波分解频带为 d2、d3区间的能量占爆破总能量的 93.33%;最大能量比率的小波分解频带为 d2,其对应的振速与频率均符合爆破安全规程的规定。该方法为爆破振动安全评估提供了新途径,也可为爆破振动机理的研究提供借鉴。

    Abstract:

    The current research of blasting vibration signal is mainly focused on the time-frequency analysis,but not from the perspective of energy. In this paper,the blasting vibration signal was analyzed based on the time-energy density method of wavelet transform. Firstly,the Mallat algorithm was used to decompose the local information of the signal with wavelet,and then the energy of each moment was obtained according to the time-energy density curve. The time-varying of energy density of signal in each frequency band was counted. Finally,five groups of blasting vibration signals of the No.2 double-hole tunnel in the Liyanlongkeng were analyzed using the method. The results show that the closer the distance to the blasting center,the stronger the blasting energy is released. The energy coefficient ratio of wavelet decomposition frequency band d2 and d3 accounts for 93.33%. The maximum energy ratio of wavelet decomposition frequency band is d2,and the corresponding vibration velocity and frequency are utilized to judge with the blasting safety regulation. This method provides a new way for blasting vibration safety assessment from the perspective of energy,and that also has a theoretical guiding significance for the study of blasting vibration mechanism.

    参考文献
    相似文献
    引证文献
引用本文

范明浩,何文超,凌同华,等.基于小波变换时能密度法的爆破振动信号分析[J].交通科学与工程,2022,38(3):79-85.
FAN Minghao, HE Wenchao, LING Tonghua, et al. Analysis of blasting vibration characteristic signal based on time-energy density analysis of wavelet transform[J]. Journal of Transport Science and Engineering,2022,38(3):79-85.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-01-05
  • 出版日期: