Prediction of ground vibration induced by high-speed trains over elevated tracks based on machine learning
This research derives a dataset of ground vibration data based on the analytical solution of a moving load acting on an elastically supported beam and the Green’s function of a simple harmonic point load acting on an elastic half-space, and uses these datasets to pre-train a neural network model.