EVALUATION OF GROUND BORNE VIBRATION WITH RESPECT TO PILE DRIVING
DOI:
https://doi.org/10.11113/mjce.v36.21649Keywords:
Ground Borne Vibration, Pile Driving, Peak Particle Velocity, prediction modelAbstract
Construction activities contribute to ground-borne vibrations, leading to structural damage and adverse environmental effects like noise pollution and human discomfort. Piling, particularly dynamic piling using a hammer drop, is a common construction practice in Malaysia for erecting high-rise buildings. However, this activity, if conducted near urban or residential areas, can result in various issues such as soil settlement and structural damage. Pile-induced vibrations result from the energy transfer initiated by the hammer drop, transmitting through the pile and subsequently propagating into the surrounding soil.he damping effects of these waves decrease with increasing distance from the pile, while the energy transferred to the ground rises with the depth of pile penetration. The relationship between the distance of the pile from the vibration source and Peak Particle Velocity (PPV) is inversely proportional, indicating that as the distance increases, the PPV decreases. Conversely, the relationship between pile depth and PPV is directly proportional, implying that as the pile depth increases, the PPV also increases. The analysis reveals that Peak Particle Velocity (PPV), distance, and pile depth exhibit similar positively skewed distributions with negative kurtosis. Negative linear correlation exists between PPV and distance, while a positive correlation is observed with pile depth. The multiple linear regression equation, PPV = 1.803 – 0.0810 Distance + 0.1176 Pile Depth, highlights PPV's dependence on both variables, with significant P-values. The model's explanatory power, indicated by an 82.80% R-squared value, is notable. Validation shows minor discrepancies within 0.3 mm/s between on-site PPV measurements and regression predictions. Although the highest recorded PPV suggests potential damage, most data remain below 3 mm/s, emphasizing the importance of considering distance and pile depth in managing ground vibrations. The regression model proves reliable. The primary objectives of this study are to establish and analyze the relationships between PPV, pile depth, and distance from the vibration source. Additionally, the study aims to develop a ground-borne vibration model using multiple linear regression.
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