关键词: 地铁振动, 传递函数, 混合预测, 现场实测, 频域解

Abstract: With the rapid development of urban rail transit systems, vibration issues associated with rail transportation have become increasingly prominent. To develop scientifically sound and effective vibration and noise mitigation measures, establishing accurate and efficient vibration prediction methods serves as a crucial prerequisite. Addressing the current challenge of balancing accuracy and computational efficiency in rail transit vibration prediction, this study proposes a hybrid analytical transfer function and on-site measurement rapid prediction methodology. The proposed approach involves calculating vibration transmission characteristics from excitation sources to receiving structures through theoretical modeling, while incorporating measured ground vibration for calibration, thereby achieving accurate prediction of building structural vibrations under actual track irregularity conditions. The methodology's core idea lies in partitioning the vibration transmission system into four subsystems, each modeled using distinct theoretical methods: multibody dynamics for train subsystem modeling, wave propagation theory and stiffness matrix methods for soil dynamic response, substructure methodology for soil-structure interaction analysis, and impedance theory for building structural response prediction. Experimental validation confirms that the predicted building vibration responses demonstrate excellent agreement with field measurements in the frequency domain. This research contributes a novel technical solution for environmental vibration assessment in rail transit applications.

Key words: metro vibration, transfer function, hybrid prediction, on-site measurement, frequency domain solution