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<p>To enhance the real-time sensing and explosion location recognition capabilities in underground engineering, this study investigates structural vibration responses under different detonation source locations through model testing and numerical simulations. By integrating the simplex method with an improved particle swarm optimization algorithm, a novel localization algorithm is proposed, leveraging the moment differences of peak acceleration. The algorithm’s accuracy is validated through model tests and numerical results. The findings reveal that when the detonation source is located in the middle and far field, significant dispersion exists between the distance from the measurement point to the detonation source and the peak acceleration. While the general trend shows an increase in distance correlating with a decrease in peak acceleration, a negative correlation is observed only at very short distances. Numerical simulations confirm that the time of peak vibration acceleration and detonation source distance exhibit a strong linear positive correlation, with the coefficient ranging between 0.00218 and 0.00336. Furthermore, the larger the distance difference, the greater the time difference in peak acceleration. Peak vibration acceleration time as a principle, combined with the simplex method and improved particle swarm optimization algorithm can be inverse performance and the real detonation source coordinates similar to the distance of the detonation source coordinates. And the improved particle swarm algorithm of detonation source location calculation results are more accurate, based on the numerical simulation data positioning accuracy analysis results show that its accuracy is stable at more than 99%.</p>

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Research on detonation source localization method based on vibration response of underground structure

  • 期刊论文

  • 发表日期：

    2025年12月14日

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  • Yunchen Deng,
  • Shuanye Han,
  • Yi Luo,
  • Hangli Gong,
  • Tao Xu,
  • Kaiyuan Guan,
  • Yueying Li

摘要

To enhance the real-time sensing and explosion location recognition capabilities in underground engineering, this study investigates structural vibration responses under different detonation source locations through model testing and numerical simulations. By integrating the simplex method with an improved particle swarm optimization algorithm, a novel localization algorithm is proposed, leveraging the moment differences of peak acceleration. The algorithm’s accuracy is validated through model tests and numerical results. The findings reveal that when the detonation source is located in the middle and far field, significant dispersion exists between the distance from the measurement point to the detonation source and the peak acceleration. While the general trend shows an increase in distance correlating with a decrease in peak acceleration, a negative correlation is observed only at very short distances. Numerical simulations confirm that the time of peak vibration acceleration and detonation source distance exhibit a strong linear positive correlation, with the coefficient ranging between 0.00218 and 0.00336. Furthermore, the larger the distance difference, the greater the time difference in peak acceleration. Peak vibration acceleration time as a principle, combined with the simplex method and improved particle swarm optimization algorithm can be inverse performance and the real detonation source coordinates similar to the distance of the detonation source coordinates. And the improved particle swarm algorithm of detonation source location calculation results are more accurate, based on the numerical simulation data positioning accuracy analysis results show that its accuracy is stable at more than 99%.