Dynamics identification of guideway girder and assessment of the effects on high-speed maglev vehicle–guideway coupled system

The guideway girder is a key supporting component that ensures the safe and stable operation of high-speed maglev systems. Taking the Shanghai high-speed maglev demonstration line as the background, this paper conducts a comprehensive experimental and numerical investigation on the dynamic characteristics of the guideway girder. Dynamic response tests were carried out under an operational load corresponding to 300 km/h, and by employing the Eigensystem Realization Algorithm (ERA) together with deflection curves derived from the conjugate beam method, a complete set of dynamic properties of the guideway girder was simultaneously identified using field test data. The identified parameters were then used to calibrate a highly reliable vehicle-guideway coupled dynamic model, which showed excellent agreement with the measured data in both the time and frequency domains, thereby undergoing rigorous validation. Numerical simulations based on this model revealed a fundamental transition in the governing dynamic mechanisms of the system: the system response shifted from being primarily resonance-driven to being dominated by inertial forces and dynamic amplification due to moving loads, leading to an acceleration growth rate far exceeding that of quasi-static deflection. This study provides the maglev system with a validated model and new insights into its speed-dependent dynamics, while also pointing out directions for future research focused on mitigating high-frequency vibrations.

Authors

Institutions

Publication Details

Journal
High-speed Railway
Published
2025-12-01
DOI
https://doi.org/10.1016/j.hspr.2025.12.001
Primary Topic
Magnetic Bearings and Levitation Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamics identification of guideway girder and assessment of the effects on high-speed maglev vehicle–guideway coupled system

Jingyu Huang, Y. Wang, Ziyang Zhang, Xu Chen et al.
High-speed Railway
Magnetic Bearings and Levitation Dynamics
article

Dynamics identification of guideway girder and assessment of the effects on high-speed maglev vehicle–guideway coupled system

Jingyu Huang, Y. Wang, Ziyang Zhang, Xu Chen, Xiaolong Yan, Dongzhou Wang, LU Qifei
article en

Abstract

The guideway girder is a key supporting component that ensures the safe and stable operation of high-speed maglev systems. Taking the Shanghai high-speed maglev demonstration line as the background, this paper conducts a comprehensive experimental and numerical investigation on the dynamic characteristics of the guideway girder. Dynamic response tests were carried out under an operational load corresponding to 300 km/h, and by employing the Eigensystem Realization Algorithm (ERA) together with deflection curves derived from the conjugate beam method, a complete set of dynamic properties of the guideway girder was simultaneously identified using field test data. The identified parameters were then used to calibrate a highly reliable vehicle-guideway coupled dynamic model, which showed excellent agreement with the measured data in both the time and frequency domains, thereby undergoing rigorous validation. Numerical simulations based on this model revealed a fundamental transition in the governing dynamic mechanisms of the system: the system response shifted from being primarily resonance-driven to being dominated by inertial forces and dynamic amplification due to moving loads, leading to an acceleration growth rate far exceeding that of quasi-static deflection. This study provides the maglev system with a validated model and new insights into its speed-dependent dynamics, while also pointing out directions for future research focused on mitigating high-frequency vibrations.

High-speed Railway
Tongji University (CN), Shanghai Urban Transportation Design Institute (China) (CN)
Openalex Percentile: Top 52%
Magnetic Bearings and Levitation Dynamics
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.

Dynamics identification of guideway girder and assessment of the effects on high-speed maglev vehicle–guideway coupled system — Jingyu Huang, Y. Wang, et al. · High-speed Railway (2025) | TGRS Research Map | TGRS