Researchers have developed a novel method to predict blast vibration waveforms, incorporating for the first time the variation in peak time. This approach significantly improves the accuracy of predictions compared to existing models, which often underestimate or overestimate vibration peaks due to the complexity of seismic wave propagation in different geological media. The ability to more accurately predict these vibrations is crucial for safety in civil engineering and mining projects, minimizing risks to infrastructure and people.

The study focuses on modeling the variation in the time it takes for vibration to reach its maximum amplitude, a factor that has historically been difficult to quantify and introduces considerable uncertainty into predictions. By integrating this parameter, the new method offers a more faithful representation of shock wave dynamics. The results show an improved correlation between model predictions and empirical data obtained from actual blasts, validating the effectiveness of the proposed methodology.

The application of this method will allow engineers and planners to optimize blasting patterns, adjusting explosive charge and detonation sequence to better control vibrations. This will not only contribute to operational safety but could also reduce costs associated with structural damage or disruptions to nearby activities. This research is expected to lay the groundwork for the development of more robust and reliable predictive tools in the field of geomechanics and explosive engineering.