Analysis of dynamic response of the high-speed EMS maglev vehicle/guideway coupling system with random irregularity

Jin, Shi; Qing-chao, Wei; Yang, Zhao

doi:10.1080/00423110601178441

Cited by 75 publications

(45 citation statements)

References 5 publications

(5 reference statements)

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“…en, Zhao and Zhai developed a 10-DOFs model of the maglev vehicle traveling along three types of guideways to observe the vertical random response and ride quality [13]. Shi et al studied the dynamic response of the high-speed EMS maglev vehicle-guideway system with random irregularity [14]. Certainly, these two literatures indicate that the reaction characteristics of the maglev vehicle-guideway system to different frequencies can be obtained by using the discrete fast Fourier transform from dynamic responses.…”

Section: Introductionmentioning

confidence: 99%

Random Vibration Analysis of Coupled Three‐Dimensional Maglev Vehicle‐Bridge System

Wei

Guo

2019

Advances in Civil Engineering

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is paper presents a framework for the linear random vibration analysis of the coupled three-dimensional (3D) maglev vehiclebridge system. Except for assembling the equation of motion of vehicle only via the principle of virtual work, the fully computerized approach is further expanded to assemble the governing equation of fluctuating current via the equilibrium relation. A state-space equation couples the equation of motion of the vehicle and the governing equation of fluctuating current. e equation of motion of a real three-span space continuous girder bridge is established by using finite element methods. A separated iteration method based on the precise integration method and the Newmark method is introduced to solve the state-space equation for the maglev vehicle and the equation of motion for the bridge. Moreover, a new scheme to application of the pseudoexcitation method (PEM) in random vibration analysis is proposed to maximize the computational efficiency of the random vibration analysis of the maglev vehicle-bridge system. Finally, the numerical simulation demonstrates that the proposed framework can efficiently obtain the mean value, root mean square (RMS), standard deviation (SD), and power spectral density (PSD) of dynamic response for the coupled 3D maglev vehicle-bridge system.

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Section: Introductionmentioning

confidence: 99%

Random Vibration Analysis of Coupled Three‐Dimensional Maglev Vehicle‐Bridge System

Wei

Guo

2019

Advances in Civil Engineering

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“…Due to oscillation of vehicle, the guideway is subject to dynamic load composed of different frequencies. Dai [13], Shi et al [14], Zhao et al [15]. and Zeng et al [16] modelled guideway surface irregularity as the realization of random process represented by a power spectral density function (PSD).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of High-Speed MAGLEV Vehicle–Guideway System: An Approach in Block Diagram Environment

Talukdar

2016

Urban Rail Transit

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A magnetically levitated (MAGLEV) train is the future of rapid ground transport. They are much faster, energy efficient; require very less maintenance and pollution free. The present study outlines an approach for the modelling and simulation of MAGLEV vehicle-guideway in a block diagram environment and thereafter optimizes the suspension parameters for increased ride comfort. This has been accomplished with the help of SIMULINK which provides a graphical editor, customizable block libraries and solvers. The guideway has been modelled as a twospan continuous beam. The guideway surface roughness was defined by power spectral density function. The influence of vehicle speed and surface roughness on the vehicle-guideway response has been studied. Use of optimized suspension parameters indicated 60 % reduction in car-body vertical acceleration, whereas the guideway maximum deflection showed a fall of 25 %.

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“…Here, an EMS system maglev train is examined, and the levitation is provided by an electromagnet which is connected to the primary suspension. The current flowing through the circuit and the distance between the electromagnet and the guideway will be considered as the main variables to decide the electromagnetic force , as in several earlier studies [10,11,12], and thus:…”

Section: Control System Of Maglev Trainsmentioning

confidence: 99%

Control of Maglev Trains Moving on Bridges During Foundation Settlements

Ju¹,

Leong²,

Ho³

2015

Proceedings of the International Conference on Computer Information Systems and Industrial Applications

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Abstract-This paper investigates the control and safety of a series of maglev trains moving on multi-span simply supported bridges with the foundation settlements. To control the dynamic response of the maglev trains, a PI (proportional-integral) controller with constant tuning gains is applied. The finite element results indicate that the influences of the rail irregularities are obvious. However, the allowable vertical settlement and the Y-deflection of the bridge, which is caused by the X-rotation can be significantly improved when the lateral electromagnetic force is enlarged.

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Analysis of dynamic response of the high-speed EMS maglev vehicle/guideway coupling system with random irregularity

Cited by 75 publications

References 5 publications

Random Vibration Analysis of Coupled Three‐Dimensional Maglev Vehicle‐Bridge System

Random Vibration Analysis of Coupled Three‐Dimensional Maglev Vehicle‐Bridge System

Dynamic Analysis of High-Speed MAGLEV Vehicle–Guideway System: An Approach in Block Diagram Environment

Control of Maglev Trains Moving on Bridges During Foundation Settlements

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