Predicting train-induced wave propagation in multi-story buildings .

摘要

Urban societies face the challenge of working and living in an environment filled with noise and vibrations caused by construction, manufacturing, and transportation systems. Buildings produced by the construction standards of today were more structurally efficient and, as a consequence, more susceptible to vibrations that disturb occupants and sensitive manufacturing or laboratory equipment. In this research, a wave propagation model was developed and calibrated with controlled vibration measurements to predict train-induced vibrations in buildings. An electrodynamic shaker was used to excite the bottom seven floors of two buildings. The resulting velocity measurements were used to calibrate the wave propagation model by optimizing model parameters, using the Gauss-Newton algorithm, to provide the best fit of analytical floor velocity ratios to measured floor velocity ratios. Train-induced vibrations are then measured on the bottom seven floors of the two buildings for the purpose of validating model predictions. The train-induced vibration measurements at the foundation-level are used as the excitation input for the calibrated wave propagation model, accurately predicting train-induced vibrations on the two floors above the foundation. The predictions produced by this approach are accurate for regular and irregular buildings, thus improving the current prediction methods provided by the Federal Transit Administration (FTA).