Modelling, validation and analysis of a three-dimensional railway vehicle–track system model with linear and nonlinear track properties in the presence of wheel flats

Uzzal, Rajib Ul Alam; Ahmed, A. K. W.; Bhat, Rama

doi:10.1080/00423114.2013.822987

Cited by 30 publications

(20 citation statements)

References 22 publications

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“…According to previous works, as those carried out by Jin et al [5], Ferrara et al [17], or Uzzal et al [18], the vehicle is simplified to a single wagon of two bogies and four axles. Only the primary suspension is considered.…”

Section: Multi-body Modelmentioning

confidence: 99%

Development of a vehicle–track interaction model to predict the vibratory benefits of rail grinding in the time domain

Real

Zamorano²,

Blanco

2015

J. Mod. Transport.

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Imperfections in the wheel-rail contact are one of the main sources of generation of railway vibrations. Consequently, it is essential to take expensive corrective maintenance measures, the results of which may be unknown. In order to assess the effectiveness of these measures, this paper develops a vehicle-track interaction model in the time domain of a curved track with presence of rail corrugation on the inner rail. To characterize the behavior of the track, a numerical finite element model is developed using ANSYS software, while the behavior of the vehicle is characterized by a unidirectional model of two masses developed with VAMPIRE PRO software. The overloads obtained with the dynamic model are applied to the numerical model and then, the vibrational response of the track is obtained. Results are validated with real data and used to assess the effectiveness of rail grinding in the reduction of wheel-rail forces and the vibration generation phenomenon.

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Section: Multi-body Modelmentioning

confidence: 99%

Development of a vehicle–track interaction model to predict the vibratory benefits of rail grinding in the time domain

Real

Zamorano²,

Blanco

2015

J. Mod. Transport.

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“…This procedure is summarised as (20) where K (i -1) and F (i -1) are respectively the consistent tangent stiffness matrix and reaction force vector computed at the configuration corresponding to the static displacement, u 0 (i -1) , for i being the number of iterations. Convergence of equation (20) is achieved by satisfying a predefined convergence criterion that guarantees the degree of accuracy required for the solution.…”

Section: Stationary Harmonic Loadmentioning

confidence: 99%

“…It is shown that the vibration level is not only affected by the vehicle types and speeds, but also by the railpad stiffness, rail mass and bending stiffness, sleeper mass and spacing. In [20] a comprehensive three dimensional time domain vehicle-track model excited by wheel flats is studied. Nonlinearity of the railpad and ballast are considered as exponential functions of their respective displacements.…”

Section: Influence Of Preload and Nonlinearity Of Railpads On Vibratimentioning

confidence: 99%

“…Superimposed on each of these is a unit amplitude dynamic load. The preloaded stiffness distribution is calculated using equation (20) and then used as input to study the dynamic response. Figure 7 shows the dynamic displacement and reaction force amplitudes and phase plotted as a function of excitation frequency for a point that is directly under the load.…”

Section: Effect Of Preloadmentioning

confidence: 99%

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Influence of Preload and Nonlinearity of Railpads on Vibration of Railway Tracks under Stationary and Moving Harmonic Loads

Koroma

Hussein

Owen

2015

Journal of Low Frequency Noise, Vibration and Active Control

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In railway track dynamics, the stiffness and damping properties of railpads have a significant effect on track vibration, decay rates as well forces transmitted to the track supporting structure. Many studies have shown that railpads exhibit pronounced nonlinear behaviour, with preload and frequency dependent properties. This paper presents a three parameter railpad model, together with its differential equation of motion and the required model parameters obtained from experimental data. A time domain model of a rail discretely supported on these railpads is then formulated using the finite element method. The model is subjected to static and dynamic loading in order to study the effects of preload and frequency on its dynamic behaviour. Results are shown as time histories and frequency spectra for the track displacements and reaction forces for various preload levels. They emphasise the necessity of accounting for nonlinear behaviour based on the large disparities (up to 20 dB) observed between the linear and nonlinear cases for the parameters used in this study.

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“…They only studied the vehicle-rail coupled solving method [9]. Uzzal et al and Zhang et al viewed vibration signals as the combination of periodic vibration through field tests and implemented frequency spectral analysis through Fourier transformation, thereby obtaining the mathematical expression of the vibration acceleration of rail [10,11]. Lei and Wang introduced the simplified vehicle model, established the kinetic equation of simulated wheel system, and deduced the vibration load of vehicle based on the work of Uzzal et al However, they did not further analyse the dynamic features of vehicle-track system [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Characteristics of Coupled Vehicle–Track–Tunnel Interaction System

Liu¹,

Liang²,

Zhao³

et al. 2016

Int. j. simul. model.

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Traditional studies simplify vehicle-track-tunnel system into vehicle-track or vehicle-tunnel models and neglect dynamics influences of vehicle on tunnel through track or track-tunnel on vehicle. This study established the mathematical model of vehicle and finite element model of track-tunnel to disclose vibration characteristics of vehicle-track-tunnel coupled dynamic system. Next, a vehicletrack-tunnel dynamic coupled model was established based on the wheel-rail displacement coordinated relation. Finally, variation laws of vehicle and stress and displacement fields of tunnel surrounding rock when the train travelled at speed of 200 km/h were studied under different track slab stiffness and track structures. Numerical simulation results demonstrate that vehicle vibration indexes change in the linear law with the increase in track slab stiffness. Sleeper embedded ballastless slab track has better damping reduction performance than sleeper buried ballastless slab track. The best damping reduction performance is achieved when the track slab stiffness is 3.5 kPa. The maximum vertical displacement and stress of the tunnel surrounding rock due to vibration at low levels and the tunnel surrounding rock slightly influence vibration indexes of vehicles.

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Modelling, validation and analysis of a three-dimensional railway vehicle–track system model with linear and nonlinear track properties in the presence of wheel flats

Cited by 30 publications

References 22 publications

Development of a vehicle–track interaction model to predict the vibratory benefits of rail grinding in the time domain

Development of a vehicle–track interaction model to predict the vibratory benefits of rail grinding in the time domain

Influence of Preload and Nonlinearity of Railpads on Vibration of Railway Tracks under Stationary and Moving Harmonic Loads

Dynamic Characteristics of Coupled Vehicle–Track–Tunnel Interaction System

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