Train–track–bridge dynamic interaction is a fundamental concern in the field of railway engineering, which plays an extremely important role in the optimal design of railway bridges, especially in ...

https://www.tandfonline.com/doi/pdf/10.1080/00423114.2019.1605085

Train–track–bridge dynamic interaction: a state-of-the-art review

Bridge damping identification by vehicle scanning method

A comparative study on the running safety of trains subjected to crosswinds simulated with different wind models

This article focuses on the calibration and validation of a numerical model of a steel-concrete composite railway bridge considering the vehicle–track–structure interaction. The calibration of the ...

Validation of a vertical train–track–bridge dynamic interaction model based on limited experimental data

On the dynamic characterisation of railway bridges through experimental testing

Railway bridges can be particularly sensitive to dynamic effects induced by trains owing to the resonance phenomena originated by periodic loading associated with the passage of regularly spaced tr...

Dynamic Response of a Railway Bridge to Heavy Axle-Load Trains Considering Vehicle–Bridge Interaction

Obtaining the dynamic parameters of a bridge is essential to validation of the model used in the dynamic analysis of the bridge. In order to implement methodologies for damage detection, many experimental modal identification tests are performed for estimating the modal parameters of structures, including the natural frequencies and mode shapes. This paper presents an experimental and numerical study for finding the modal parameters of an aluminum model built to scale of a real railway bridge. Although, so far no test has been performed on the real railway bridge for comparison with the scale model, this paper seeks to apply the scale model experimental and numerical techniques for obtaining the dynamic parameters of the bridge. The software SAP2000 was used for the numerical analyses and for the experimental aspect, the circle fit and the stochastic subspace identification methods are used. Numerical and experimental results showed good correlation.

Ladislao R. Ticona Melo

Papers

Validation of a vertical train–track–bridge dynamic interaction model based on limited experimental data

Dynamic Response of a Railway Bridge to Heavy Axle-Load Trains Considering Vehicle–Bridge Interaction

Identification of Modal Parameters in a Scale Model for a Railway Bridge