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<p>This study investigated the peak particle velocity (PPV) and attenuation characteristics of sand subjected to vibrations caused by impact loading from dropping a mass onto the sand from a certain height. Experiments were conducted in a model tank (2.0&#xa0;m × 1.5&#xa0;m × 1.0&#xa0;m) to determine the upper bound solution for estimating the highest PPV generated during construction activities. A ground vibration model was developed, considering parameters like energy and radial distance, to predict PPV using experimental data. Apart from these parameters considered by earlier researchers, a model incorporating soil parameter, such as relative density, was created, improving the prediction of PPV. The accuracy of both models was validated, showing prediction errors of 23.22% for the first model and 19.31% for the second, confirming that the relative density-based model is slightly&#xa0;more reliable for predicting ground vibrations during construction. The study found that geometric damping coefficients derived from acceleration data were higher than those from velocity data, indicating the importance of the type of amplitude data employed during wave propagation analysis. The findings highlight the need for site-specific ground motion attenuation data to monitor construction-induced vibrations in real-world projects effectively.</p>

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Peak Particle Velocity and Attenuation Characteristics of Sand Due to Ground Vibration Induced by Impact Loading: An Experimental Study

  • 期刊论文

  • 发表日期：

    2025年7月22日

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  • Madhurima Sharma,
  • Ambarish Ghosh,
  • Vinoth B

摘要

This study investigated the peak particle velocity (PPV) and attenuation characteristics of sand subjected to vibrations caused by impact loading from dropping a mass onto the sand from a certain height. Experiments were conducted in a model tank (2.0 m × 1.5 m × 1.0 m) to determine the upper bound solution for estimating the highest PPV generated during construction activities. A ground vibration model was developed, considering parameters like energy and radial distance, to predict PPV using experimental data. Apart from these parameters considered by earlier researchers, a model incorporating soil parameter, such as relative density, was created, improving the prediction of PPV. The accuracy of both models was validated, showing prediction errors of 23.22% for the first model and 19.31% for the second, confirming that the relative density-based model is slightly more reliable for predicting ground vibrations during construction. The study found that geometric damping coefficients derived from acceleration data were higher than those from velocity data, indicating the importance of the type of amplitude data employed during wave propagation analysis. The findings highlight the need for site-specific ground motion attenuation data to monitor construction-induced vibrations in real-world projects effectively.