Airblast waves and noises induced by tunnel delay blasting: Field measurement and tempo-spatial analysis

Residents living near drill-and-blast tunnels often experience disturbances from blasting operations. This motivates us to investigate the characteristics of airblasts and resulting noise through on-site monitoring at three tunnels. The research focuses on both the temporal evolution and spatial propagation of airblasts. Temporal analysis, including peak overpressure (POp), positive duration (PD), and Fourier main frequency (MF), emphasizes the relationship between airblast characteristics, blasting delays, and rock grade. It shows that airblast bandwidths are typically in the range of 3–200 Hz, with noise levels exceeding 130 dB, which is comparable to jet engines and rocket launch. Spatial propagation analysis reveals the impact of tunnel space on airblast propagation. Although POp and PD typically decrease with distance inside the tunnel, wave superposition can cause increased overpressure and prolonged durations at far-field distances (above 60 m kg −1/3 ). Outside the tunnel, sound radiation was influenced by azimuth and was basically determined by sound power — an often-overlooked factor. To address the anisotropic propagation of airblasts, a predictive model was proposed for external noise levels, considering variables like distance, azimuth angle, initial sound power, and wave expansion. Validated by tests, this model successfully unifies data from three studies, helping to explain and predict airblast disturbances near tunnels.

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Publication Details

Journal
Journal of Rock Mechanics and Geotechnical Engineering
Published
2025-03-31
DOI
https://doi.org/10.1016/j.jrmge.2025.03.007
Primary Topic
Seismic Waves and Analysis
Type
article
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article

Airblast waves and noises induced by tunnel delay blasting: Field measurement and tempo-spatial analysis

Lichuan Wang, Xianshun Zhou, Jıanbo Feı, Xuemin Zhang et al.
Journal of Rock Mechanics and Geotechnical Engineering
Seismic Waves and Analysis
article

Airblast waves and noises induced by tunnel delay blasting: Field measurement and tempo-spatial analysis

Lichuan Wang, Xianshun Zhou, Jıanbo Feı, Xuemin Zhang, Xiangsheng Chen, Muhammad Huzaifah Khalid
article en

Abstract

Residents living near drill-and-blast tunnels often experience disturbances from blasting operations. This motivates us to investigate the characteristics of airblasts and resulting noise through on-site monitoring at three tunnels. The research focuses on both the temporal evolution and spatial propagation of airblasts. Temporal analysis, including peak overpressure (POp), positive duration (PD), and Fourier main frequency (MF), emphasizes the relationship between airblast characteristics, blasting delays, and rock grade. It shows that airblast bandwidths are typically in the range of 3–200 Hz, with noise levels exceeding 130 dB, which is comparable to jet engines and rocket launch. Spatial propagation analysis reveals the impact of tunnel space on airblast propagation. Although POp and PD typically decrease with distance inside the tunnel, wave superposition can cause increased overpressure and prolonged durations at far-field distances (above 60 m kg −1/3 ). Outside the tunnel, sound radiation was influenced by azimuth and was basically determined by sound power — an often-overlooked factor. To address the anisotropic propagation of airblasts, a predictive model was proposed for external noise levels, considering variables like distance, azimuth angle, initial sound power, and wave expansion. Validated by tests, this model successfully unifies data from three studies, helping to explain and predict airblast disturbances near tunnels.

Journal of Rock Mechanics and Geotechnical EngineeringVol. 18(2)
Central South University (CN), Shenzhen University (CN), China Railway Group (China) (CN), China Railway 18th Bureau Group Corporation
Sustainable cities and communities
Openalex Percentile: Top 90%
Seismic Waves and Analysis
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Airblast waves and noises induced by tunnel delay blasting: Field measurement and tempo-spatial analysis — Lichuan Wang, Xianshun Zhou, et al. · Journal of Rock Mechanics and Geotechnical Engineering (2025) | TGRS Research Map | TGRS