Research on prediction method for blast vibration waveforms considering peak-time variation
- 1China ENFI Engineering Corporation
Abstract
To address the accuracy bottleneck of the traditional Anderson blast-induced vibration prediction model, which assumes fixed sub-wave peak time and suffers from phase error accumulation during multi-hole superposition, a model correction method based on the nonlinear attenuation of peak time is proposed. Taking single-hole charge quantity, blast center distance and peak particle velocity (PPV) as core influencing factors, a peak time prediction formula is derived through dimensional analysis, revealing the nonlinear evolution law of peak time with propagation parameters. On this basis, an amplitude-time dual-parameter corrected Anderson nonlinear superposition model is constructed by simultaneously applying amplitude scaling and time-axis scaling to the reference wavelet. Systematic verifications are carried out through single-hole, double-hole and six-hole blasting tests as well as a 16-hole engineering case. The results show that compared with the traditional model, the relative error of PPV is reduced from the range of 15.2%–29.0% to 6.9%–14.0%, and the relative error of peak time is reduced from the range of 88%–115% to 1.3%–30.0%. The coincidence degree of waveform shape and spectral characteristics is significantly improved, and the dominant frequency prediction deviation of all test cases is controlled within 8 Hz. In the 16-hole large-scale open-pit bench blasting, the PPV prediction deviation is only 7.9%, and the peak time deviation is merely 2 ms. This model effectively solves the phase error accumulation problem in multi-hole blast-induced vibration superposition, and can provide reliable theoretical support for precise blast-induced vibration prediction and safety control.
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BibTeX
@article{jia2026research,
title = {{Research on prediction method for blast vibration waveforms considering peak-time variation}},
author = {Bei Jia and Lulu Qi and Xiaolong Li and Jie Zhang and Wen Li},
journal = {Scientific Reports},
year = {2026},
month = jul,
doi = {10.1038/s41598-026-63048-3},
url = {https://doi.org/10.1038/s41598-026-63048-3},
note = {CC BY},
}
RIS
TY - JOUR
TI - Research on prediction method for blast vibration waveforms considering peak-time variation
AU - Bei Jia
AU - Lulu Qi
AU - Xiaolong Li
AU - Jie Zhang
AU - Wen Li
PY - 2026
DA - 2026/07/01
JO - Scientific Reports
DO - 10.1038/s41598-026-63048-3
UR - https://doi.org/10.1038/s41598-026-63048-3
AB - To address the accuracy bottleneck of the traditional Anderson blast-induced vibration prediction model, which assumes fixed sub-wave peak time and suffers from phase error accumulation during multi-hole superposition, a model correction method based on the nonlinear attenuation of peak time is proposed. Taking single-hole charge quantity, blast center distance and peak particle velocity (PPV) as core influencing factors, a peak time prediction formula is derived through dimensional analysis, revealing the nonlinear evolution law of peak time with propagation parameters. On this basis, an amplitude-time dual-parameter corrected Anderson nonlinear superposition model is constructed by simultaneously applying amplitude scaling and time-axis scaling to the reference wavelet. Systematic verifications are carried out through single-hole, double-hole and six-hole blasting tests as well as a 16-hole engineering case. The results show that compared with the traditional model, the relative error of PPV is reduced from the range of 15.2%–29.0% to 6.9%–14.0%, and the relative error of peak time is reduced from the range of 88%–115% to 1.3%–30.0%. The coincidence degree of waveform shape and spectral characteristics is significantly improved, and the dominant frequency prediction deviation of all test cases is controlled within 8 Hz. In the 16-hole large-scale open-pit bench blasting, the PPV prediction deviation is only 7.9%, and the peak time deviation is merely 2 ms. This model effectively solves the phase error accumulation problem in multi-hole blast-induced vibration superposition, and can provide reliable theoretical support for precise blast-induced vibration prediction and safety control.
SN - 2045-2322
ER -