高铁地震 4D 地频图及其可用性研究

Based on the data from the array deployed by Peking University around high-speed rail in Baoding City, Hebei Province, China, in order to obtain spectra with higher signal to noise ratio at farther stations, the paper considers the variation of train type and stacks the spectra of three components of high-speed rail seismic signal produced by the same type trains on the same station. Using the clustering algorithm, the regular pattern of how the three component spectra vary with the train type and station position is obtained. Based on the characteristics of high-speed rail seismic spectra and their variation, we propose the concept of 4D ground-frequency map, and discuss its practicability in monitoring the status of high-speed rail and its surrounding media.