Train Vibrations Reveal Internal Changes in a High-Speed Railway Viaduct System through Dispersion-Change Patterns of a Fast Guided Wave

High-speed trains generate highly repeatable seismic vibrations, whose changes are expected to reveal how railway infrastructure changes over time. From a dense array and 28 days of trains, we use seismic interferometry to extract a fast guided wave along the viaduct hour by hour. The wave travels at about 3000 m/s with a single S-shaped branch, and its dispersion has two change patterns: a diurnal cycle of up to 4% that reverses near 7 Hz, and a 0.6% multi-day change. Fitting attributes the diurnal cycle to the resonance frequency and the coupling parameter, both tracking air temperature.The multi-day change can come from the waveguide velocity and coincides with an irrigation-driven groundwater fall. Together, these observations indicate that the viaduct system is locally resonant, and the frequency pattern identifies which internal parameter of the system has changed. This offers a new seismological means for monitoring railway bridge health.

Authors

Institutions

Publication Details

Published
2026-11-03
DOI
https://doi.org/10.22541/essoar.15011610/v1
Primary Topic
Seismic Waves and Analysis
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Train Vibrations Reveal Internal Changes in a High-Speed Railway Viaduct System through Dispersion-Change Patterns of a Fast Guided Wave

Jie-Yuan NING, Ling Chen, Mingjia Li, Yongxiang Shi et al.
Seismic Waves and Analysis
preprint

Train Vibrations Reveal Internal Changes in a High-Speed Railway Viaduct System through Dispersion-Change Patterns of a Fast Guided Wave

Jie-Yuan NING, Ling Chen, Mingjia Li, Yongxiang Shi, Wu Han, Zhichao Yu, Jingchong Wen, Chuan He
preprint en

Abstract

High-speed trains generate highly repeatable seismic vibrations, whose changes are expected to reveal how railway infrastructure changes over time. From a dense array and 28 days of trains, we use seismic interferometry to extract a fast guided wave along the viaduct hour by hour. The wave travels at about 3000 m/s with a single S-shaped branch, and its dispersion has two change patterns: a diurnal cycle of up to 4% that reverses near 7 Hz, and a 0.6% multi-day change. Fitting attributes the diurnal cycle to the resonance frequency and the coupling parameter, both tracking air temperature.The multi-day change can come from the waveguide velocity and coincides with an irrigation-driven groundwater fall. Together, these observations indicate that the viaduct system is locally resonant, and the frequency pattern identifies which internal parameter of the system has changed. This offers a new seismological means for monitoring railway bridge health.

Chinese Academy of Sciences (CN), Peking University (CN), Southern University of Science and Technology (CN), Institute of Geology and Geophysics (CN), China Earthquake Administration (CN)
Seismic Waves and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Train Vibrations Reveal Internal Changes in a High-Speed Railway Viaduct System through Dispersion-Change Patterns of a Fast Guided Wave — Jie-Yuan NING, Ling Chen, et al. · (2026) | TGRS Research Map | TGRS