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<p>Blast-induced vibration tends to be amplified in shallow-buried soft rock tunnels, triggering surrounding rock instability and surface settlement, which pose serious threats to construction safety and the stability of adjacent structures. Accurate prediction and effective control of vibrations are crucial for ensuring project safety and optimizing blasting parameters. Based on the Qimei Luqu shallow-buried soft rock tunnel project as the engineering background, extensive surface axial blast-induced vibration monitoring was conducted. The related physical quantities affecting the tunnel vibrations were analyzed based on the dimensional analysis method, and a vibration velocity amplification factor was introduced to quantify cavity effects, and a peak particle velocity (PPV) prediction model incorporating cavity effects was established. Furthermore, to address the stochastic characteristics of PPV, a safety control model for blast vibrations was developed by integrating log-normal distribution theory and confidence level analysis methods, which comprehensively considers both cavity effects and probabilistic statistical properties. The engineering application effect verifies the practical value of the proposed blast-induced vibration prediction and safety control models, demonstrating their applicability for blasting parameter optimization in shallow-buried soft rock tunnels.</p>

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Prediction and Safety Control of Blast-Induced Vibrations in Shallow-Buried Soft Rock Tunnels

  • 期刊论文

  • 发表日期：

    2025年9月30日

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  • Haixian Huang,
  • Qiyue Li,
  • Li Li,
  • Xibing Li,
  • Ming Tao

摘要

Blast-induced vibration tends to be amplified in shallow-buried soft rock tunnels, triggering surrounding rock instability and surface settlement, which pose serious threats to construction safety and the stability of adjacent structures. Accurate prediction and effective control of vibrations are crucial for ensuring project safety and optimizing blasting parameters. Based on the Qimei Luqu shallow-buried soft rock tunnel project as the engineering background, extensive surface axial blast-induced vibration monitoring was conducted. The related physical quantities affecting the tunnel vibrations were analyzed based on the dimensional analysis method, and a vibration velocity amplification factor was introduced to quantify cavity effects, and a peak particle velocity (PPV) prediction model incorporating cavity effects was established. Furthermore, to address the stochastic characteristics of PPV, a safety control model for blast vibrations was developed by integrating log-normal distribution theory and confidence level analysis methods, which comprehensively considers both cavity effects and probabilistic statistical properties. The engineering application effect verifies the practical value of the proposed blast-induced vibration prediction and safety control models, demonstrating their applicability for blasting parameter optimization in shallow-buried soft rock tunnels.