Modelling and validation of coupled high-speed maglev train-and-viaduct systems considering support flexibility

Wang, Z. L.; Xu, You Lin; Li, G. Q.; Yang, Y.B.; Chen, S. W.; Zhang, X. L.

doi:10.1080/00423114.2018.1450517

Cited by 43 publications

(26 citation statements)

References 25 publications

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“…As has been confirmed that the elastic vibration of levitation frames has a significant effect on the simulation result of vehicle dynamic performances and vibration responses, 6–8,10 an FE model of half levitation frame (FE model I) is developed for the structural flexibility modeling and analysis. As shown in Figure 3A, this FE model is mainly developed by two‐dimensional (2‐D) shell elements to avoid increasing the dimension of the FE model.…”

Section: Dynamic Model Establishmentmentioning

confidence: 89%

System dynamics in structural strength and vibration fatigue life assessment of the swing bar for high‐speed maglev train

Guo

et al. 2022

Int Journal of Mech Sys Dyn

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High-speed maglev trains are subjected to severe dynamic loads, thus posing a failure hazard. It is necessary to account for the vehicle dynamics to improve the structural strength and fatigue life assessment approach under harsh routes and super highspeed grades. As the most critical load-carrying part between the vehicle body and levitation frames, the swing bar was taken as an example to demonstrate the significance of vehicle dynamics to integrate classical structural strength and fatigue life with the service conditions. A multiphysics-coupled dynamic model of an alpha improvement scheme for an electromagnetic suspension maglev train capable of 600 km/h was established to investigate the complex dynamic loads and fatigue spectra. Using this model, the structural strength and fatigue life of the wrought swing

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Section: Dynamic Model Establishmentmentioning

confidence: 89%

System dynamics in structural strength and vibration fatigue life assessment of the swing bar for high‐speed maglev train

Guo

et al. 2022

Int Journal of Mech Sys Dyn

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“…. By using the Laplace transform equations (23,24), the linear model of module levitation system in s-domain is as follows:…”

Section: Linear Model Of the Module Levitation Systemmentioning

confidence: 99%

“…For the vehicle model of the maglev train, it was modeled as a moving force [21] or 2-DOF rigid body [22] in early researches and then modeled by researchers as 10-DOF [20], 34-DOF [23], 93-DOF [17], 110-DOF [24], and 210-DOF [25] models. The complicated vehicle models are beneficial for the analysis of vehicle/bridge coupling dynamic problem considering the elasticity of the bridge, but they are unnecessary for the rigid guideway analysis.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Performance Optimization of Electromagnetic Levitation System Considering Sensor Position

Zhou

Cui³

et al. 2020

IEEE Access

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The controlled air gap of the electromagnetic levitation system of maglev train is generally 8-10mm, which makes the vehicle/guideway coupling problem prominent. In practice, it is found that the stability of the magnetic levitation system is affected by guideway irregularities, and the levitation gaps show different dynamic characteristics, which is closely related to the sensor positions. The purpose of optimization of the dynamic performance of the electromagnetic levitation system is to reduce the dynamic deviation amplitude of the levitation gaps. Firstly, a linear model of the module levitation system with guideway is proposed. On this basis, the discrete frequency excitation method is used to obtain the dynamic amplitude response of the levitation gaps at different guideway wavelengths and vehicle speeds. Then, an optimization framework based on sensor positions is proposed. Based on this framework, the optimal sensor position at different speeds is obtained. The simulation results show that the optimal scheme can effectively reduce the deviation amplitude and the difference between the two levitation gaps, thus improving the dynamic performances of the electromagnetic levitation system.

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“…Others exploit a detailed vehicle model, but the guideway is modeled by rigid elements [5,6]. In [7,8,9], these approaches are combined by a rigid multibody vehicle crossing either a short series of elastic guideway elements or a single one, respectively. The simulation results from [9] show that for high speeds the elastic deformation of the guideway element causes a disturbance that influences the vehicle dynamics for several seconds after the vehicle has left the elastic guideway element.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of a High-speed Maglev Vehicle on an Infinite Elastic Guideway

Schneider¹,

Schmid²,

Dignath³

et al. 2021

Proceedings of the 10th ECCOMAS Thematic Conference on MULTIBODY DYNAMICS

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For magnetic levitation transport systems with pillared tracks, detailed simulation models of the coupled system of vehicle and guideway offer a valuable contribution to find a tradeoff between stiff/heavy guideway elements, required to keep disturbances small for the controller, and low material consumption. This work provides a novel model of a detailed rigid multibody Transrapid maglev vehicle with three sections moving along an infinite periodically pillared elastic guideway mapping the two-dimensional heave-pitch motion of the vehicle and the elastic bending of the guideway elements. The infinite guideway is realized by moving system boundaries, i.e., the same few Euler-Bernoulli beams representing the current track segment are used repeatedly to form an infinite sequence of guideway elements. The equations of motion of the elastic beams and the rigid multibody vehicle are obtained from the multibody modeling and simulation toolbox Neweul-M 2 . A detailed magnet model in combination with a model predictive control scheme are used for the first time in a large maglev vehicle model in this contribution. All model components are combined and coupled in a Simulink model. Simulation results show more severe overshoots and oscillations of the guideway deflection below the vehicle the faster the vehicle passes, which is resulting in bigger control errors and magnet motions at the rear end of the vehicle compared to the vehicle mid and front. Therefore, in contrast to previous presumptions, the most critical situations are to be expected at the rear end magnet, not at the front end.

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Modelling and validation of coupled high-speed maglev train-and-viaduct systems considering support flexibility

Cited by 43 publications

References 25 publications

System dynamics in structural strength and vibration fatigue life assessment of the swing bar for high‐speed maglev train

System dynamics in structural strength and vibration fatigue life assessment of the swing bar for high‐speed maglev train

Dynamic Performance Optimization of Electromagnetic Levitation System Considering Sensor Position

Modeling and Simulation of a High-speed Maglev Vehicle on an Infinite Elastic Guideway

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