Numerical investigation of a steel arch bridge and interaction with high-speed trains

Ju, Shen-Haw; Lin, Hung Ta

doi:10.1016/s0141-0296(02)00148-7

Cited by 45 publications

(10 citation statements)

References 11 publications

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“…The beam elements, which can describe well the geometry of beam-girder bridges and give an economical finite element solution as well, have widely been used for numerical modeling of simply supported bridges [5,7,11], two-span continuous bridge [4], long suspension bridge [9], lattice bridges [14,21], and arch bridge [22]. Within the same scopes of these bridge types, 3D beam elements constituted by two-nodes, each node having six DOFs as shown in Fig.…”

Section: Bridge and Track Modelingmentioning

confidence: 99%

Dynamic analysis of three-dimensional bridge–high-speed train interactions using a wheel–rail contact model

Dinh

Kim

Warnitchai

2009

Engineering Structures

124

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Section: Bridge and Track Modelingmentioning

confidence: 99%

Dynamic analysis of three-dimensional bridge–high-speed train interactions using a wheel–rail contact model

Dinh

Kim

Warnitchai

2009

Engineering Structures

124

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“…For example, the early analytic or semianalytic method [8][9][10][11] is suitable for the simplified model of a moving load, mass, or singlesuspension vehicle across a simply supported beam bridge, and it does not effectively consider the coupling effect between the train and the bridge, so today it is rarely used in the analysis of large or actual TTB interaction. And the dynamic condensation method (DCM) [8,9], the mode superposition method (MSM) [12][13][14], and the strongly coupled algorithms (SCA) [1,15], also known as the direct integration method [12,[16][17][18], which treats the train, track, bridge as a single integrated system and solves the equation of motions of the TTB systems at each time step without any iteration, usually require researchers to write code by themselves. erefore, it needs a researcher to have both deep programming skills and enough theoretical basis of TTB systems.…”

Section: Introductionmentioning

confidence: 99%

A Fast Modeling Technique for the Vertical Train‐Track‐Bridge Interactions

Liu

Guo

2019

Shock and Vibration

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This paper proposed a fast modeling technique (FMT) for the vertical dynamic analysis of the coupled train-track-bridge (TTB) systems, which combines the train subsystems and track-bridge subsystems by the client-server technique to complete the entire TTB analysis on simplex OpenSees simulation platform. Thus, the FMT could dramatically reduce the time consumed of programming and modeling and significantly reduce the amount of data transmission between subsystems for TTB interaction. Moreover, FMT could take full advantage of OpenSees in nonlinear and seismic analysis. So FMT is a practical and convenient approach to analyze the TTB coupling vibration, and especially it is suitable for the junior researchers of TTB interaction. FMT could improve the modeling efficiency to save time.

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“…The numerical simulation for dynamic responses of bridges under the action of high-speed trains is an important research focus in bridge engineering. Ju and Lin (2003a), Lacarbonara and Colone (2007), and Zhao et al (2017) studied the dynamic responses of arch bridges induced by high-speed trains. Dinh et al (2009) explored the bridge dynamic responses using a three-dimensional bridge-train interaction model considering the wheel-rail contact.…”

Section: Introductionmentioning

confidence: 99%

Early Warning of Abnormal Train-Induced Vibrations for a Steel-Truss Arch Railway Bridge: Case Study

Zhao

Deng

et al. 2017

J. Bridge Eng.

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Considering the new challenges for high-speed railway bridges, the early warning of abnormal train-induced vibrations is necessary for ensuring the operation safety of both the bridge structures and the trains on the bridge. In this study, an online monitoring system for detecting abnormal train-induced vibration responses is developed, and the Dashengguan Yangtze River Bridge is used for illustration. First, to accurately investigate the influence of different train lanes and the number of carriages on train-induced vibrations, the speed-acceleration (train speed-bridge acceleration) correlations under different loading cases are obtained using an online identification method. Then, a twostage method for early warning of abnormal train-induced acceleration responses of the bridges is developed using wavelet packet decomposition and interval estimation theory. Finally, the early warning method for identifying abnormal train-induced transverse vibrations is presented. The results show that (1) the train lane and the number of carriages affect the speed-acceleration correlations, and the identification of loading cases is needed for the accurate monitoring of speed-acceleration correlations; (2) by using wavelet packet decomposition, the median line of speed-acceleration correlations can be optimally extracted, and the early warning thresholds for abnormal train-induced acceleration responses can be properly determined using the interval estimation theory compared with the point estimation theory; and (3) the train running parameters of the Dashengguan Yangtze River Bridge are all within safe limits, but the wheel unloading rate and derailment coefficient have reached 60% of the limits due to the train-induced transverse vibrations. The effects of train-induced transverse vibration on the train running stability is worthy of attention.

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Numerical investigation of a steel arch bridge and interaction with high-speed trains

Cited by 45 publications

References 11 publications

Dynamic analysis of three-dimensional bridge–high-speed train interactions using a wheel–rail contact model

Dynamic analysis of three-dimensional bridge–high-speed train interactions using a wheel–rail contact model

A Fast Modeling Technique for the Vertical Train‐Track‐Bridge Interactions

Early Warning of Abnormal Train-Induced Vibrations for a Steel-Truss Arch Railway Bridge: Case Study

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