Wheel–rail contact model for railway vehicle–structure interaction applications: development and validation

Montenegro, Pedro Aires; Calçada, Rui

doi:10.1007/s40534-023-00306-4

Cited by 8 publications

(2 citation statements)

References 60 publications

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“…Train-track dynamic interaction is simulated using VSI software (Vehicle-Structure Interaction Analysis), whose validation and detailed description are provided in other publications by the authors [50,51]. In this model, the train is integrated with the track through a 3D wheel-rail contact model, wherein Hertzian theory is employed to compute the normal contact forces.…”

Section: Vehicle-track Dynamic Interactionmentioning

confidence: 99%

“…By employing Lagrange multipliers, this tool connects wheel displacements with the track nodal displacements, incorporating track and wheel irregularities through a set of constraint equations. These equations are solved alongside equilibrium equations, forming a unified system that couples the two subsystems (see [50] for a full description of the coupling model).…”

Section: Vehicle-track Dynamic Interactionmentioning

confidence: 99%

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Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicle Using a Wayside System

Guedes,

Silva,

Ribeiro

et al. 2024

Applied Sciences

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Polygonal wheels are one of the most common defects in train wheels, causing a reduction in comfort levels for passengers and a higher degradation of vehicle and track components. With the aim of contributing to the safety and reliability of railway transport, this paper presents the development of an innovative methodology for classifying polygonal wheels based on a wayside system. To achieve that, a numerical train-track interaction model was adopted to simulate the passage of a freight train over a virtual wayside monitoring system composed of a set of accelerometers installed on the rails. Then, the acquired acceleration time series was transformed to a frequency domain using a Fast Fourier transform (FFT), and on this data, damage-sensitive features were extracted. The features based on Principal Component Analysis (PCA) showed great sensitivity to the harmonic order, while the ones based on Continuous Wavelet Transform (CWT) model showed great sensitivity to the defect amplitude. One step further, all features are merged using the Mahalanobis distance in order to obtain a damage index strongly correlated with the polygonal defect. Finally, a cluster analysis allowed the automatic classification of polygonal wheels, according to the harmonic order (harmonic-based) and defect amplitude (amplitude-based). The proposed methodology demonstrated high efficiency in identifying different types of polygonal wheels using a minimum layout of two sensors.

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Section: Vehicle-track Dynamic Interactionmentioning

confidence: 99%

Section: Vehicle-track Dynamic Interactionmentioning

confidence: 99%

Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicle Using a Wayside System

Guedes,

Silva,

Ribeiro

et al. 2024

Applied Sciences

Self Cite

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An improved model for the nonlinear simulation of the high‐speed vehicle‐track‐bridge coupling system under seismic shaking

Lai,

Jiang,

Chen

et al. 2024

Earthq Engng Struct Dyn

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With the continuous development of high‐speed railway (HSR) construction technology, many HSR bridges are close to near‐fault earthquake zones. Due to the short warning time for earthquakes occurring in these areas, the scene of trains running on the HSR bridges under earthquakes will become more and more common. In order to effectively evaluate the train running safety performance on the HSR bridge under earthquakes, an improved model for the nonlinear simulation of the high‐speed vehicle‐track‐bridge (VTB) coupling system under seismic shaking is proposed. The commercial finite element software was utilized for the general modeling of track‐bridge structure, and nonlinear hysteric behaviors of key components were realized by using the local nonlinearity correction method. By adopting the unconditional stable explicit dynamic integration algorithm and an efficient wheel–rail contact model, an explicit dynamic solution framework is established. It can efficiently solve the nonlinear coupled vibration of the VTB system under earthquakes. Finally, based on the improved model developed in this paper, the influence of hysteretic behaviors of bridge bearings on the nonlinear coupling vibration of the VTB system under near‐fault earthquakes is discussed.

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The effectiveness of different wear indicators in quantifying wear on railway wheels of freight wagons

de Paula Pacheco,

Magelli,

Lopes

et al. 2024

Railw. Eng. Sci.

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Railway infrastructure relies on the dynamic interaction between wheels and rails; thus, assessing wheel wear is a critical aspect of maintenance and safety. This paper focuses on the wheel–rail wear indicator T-gamma (Tγ). Amidst its use, it becomes apparent that Tγ, while valuable, fails to provide a comprehensive reflection of the actual material removal and actual contact format, which means that using only Tγ as a target for optimization of profiles is not ideal. In this work, three different freight wagons are evaluated: a meter-gauge and a broad-gauge heavy haul vehicles from South American railways, and a standard-gauge freight vehicle operated in Europe, with different axle loads and dissimilar new wheel/rail profiles. These vehicles are subjected to comprehensive multibody simulations on various tracks. The simulations aimed to elucidate the intricate relationship between different wear indicators: Tγ, wear index, material removal, and maximum wear depth, under diverse curves, non-compensated lateral accelerations (Anc), and speeds. Some findings showed a correlation of 0.96 between Tγ and wear depth and 0.82 between wear index and material removed for the outer wheel. From the results, the Tγ is better than the wear index to be used when analyzing wear depth while the wear index is more suited to foresee the material lost. The results also show the low influence of Anc on wear index and Tγ. By considering these factors together, the study aims to improve the understanding of wheel–rail wear by selecting the best wear analysis approaches based on the effectiveness of each parameter.

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Wheel–rail contact model for railway vehicle–structure interaction applications: development and validation

Cited by 8 publications

References 60 publications

Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicle Using a Wayside System

Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicle Using a Wayside System

An improved model for the nonlinear simulation of the high‐speed vehicle‐track‐bridge coupling system under seismic shaking

The effectiveness of different wear indicators in quantifying wear on railway wheels of freight wagons

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