Research on prediction method for blast vibration waveforms considering peak-time variation

Area of Science:

• Geotechnical Engineering
• Mining Engineering
• Vibration Analysis

Background:

• Traditional Anderson blast-induced vibration models face accuracy limitations due to fixed sub-wave peak time assumptions.
• Phase error accumulation during multi-hole superposition degrades prediction accuracy in existing models.

Purpose of the Study:

• To develop a corrected Anderson model addressing the accuracy bottleneck in blast-induced vibration prediction.
• To improve the prediction accuracy of peak particle velocity (PPV) and peak time in multi-hole blasting scenarios.

Main Methods:

• A nonlinear peak time attenuation correction method was proposed.
• A peak time prediction formula was derived using dimensional analysis based on charge quantity, distance, and PPV.
• An amplitude-time dual-parameter corrected Anderson nonlinear superposition model was constructed.

Main Results:

• The corrected model reduced PPV relative error from 15.2%-29.0% to 6.9%-14.0%.
• Peak time relative error decreased significantly from 88%-115% to 1.3%-30.0%.
• Waveform shape, spectral characteristics, and dominant frequency prediction accuracy were substantially improved, with deviations controlled within 8 Hz.

Conclusions:

• The proposed model effectively resolves phase error accumulation in multi-hole blast-induced vibration superposition.
• This approach offers reliable theoretical support for precise blast-induced vibration prediction and safety control in mining and construction.