A Nonlinear Vehicle Structure Interaction Methodology With Wheel Rail Detachment and Reattachment

Montenegro, Pedro Aires; Neves, Sérgio; Azevedo, Álvaro F. M.; Calçada, Rui

doi:10.7712/120113.4533.c1269

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…The simulations for the train–track dynamic interaction are conducted using the in-house software VSI—Vehicle-Structure Interaction Analysis initially developed by Neves et al [ 58 ] and Montenegro et al [ 59 ], to deal only with vertical interaction, and enhanced by Montenegro et al [ 60 ] to take into consideration the lateral dynamics. The coupling is achieved through a properly validated wheel–rail contact model [ 60 ] which is based on a specially developed contact finite element.…”

Section: Numerical Modellingmentioning

confidence: 99%

Wheel Out-of-Roundness Detection Using an Envelope Spectrum Analysis

Gonçalves

Mosleh

Vale

et al. 2023

Sensors

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This paper aims to detect railway vehicle wheel flats and polygonized wheels using an envelope spectrum analysis. First, a brief explanation of railway vehicle wheel problems is presented, focusing particularly on wheel flats and polygonal wheels. Then, three types of wheel flat profiles and three periodic out-of-roundness (OOR) harmonic order ranges for the polygonal wheels are evaluated in the simulations, along with analyses implemented using only healthy wheels for comparison. Moreover, the simulation implements track irregularity profiles modelled based on the US Federal Railroad Administration (FRA). From the numerical calculations, the dynamic responses of several strain gauges (SGs) and accelerometer sensors located on the rail between sleepers are evaluated. Regarding defective wheels, only the right wheel of the first wheelset is considered as a defective wheel, but the detection methodology works for various damaged wheels located in any position. The results from the application of the methodology show that the envelope spectrum analysis successfully distinguishes a healthy wheel from a defective one.

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Section: Numerical Modellingmentioning

confidence: 99%

Wheel Out-of-Roundness Detection Using an Envelope Spectrum Analysis

Gonçalves

Mosleh

Vale

et al. 2023

Sensors

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“…Moreover, as will be mentioned later, it is also possible to include the wheel flats as a periodic rail irregularity. To solve the train structure detachment, Neves et al [48] and Montenegro et al [49] extended the original formulation developed by Neves et al [50]. Subsequently, Montenegro et al [51] reformulated the method to consider the lateral interaction by taking into account the wheel and rail geometry and the contact model between them.…”

Section: Train-track Interactionmentioning

confidence: 99%

Railway Vehicle Wheel Flat Detection with Multiple Records Using Spectral Kurtosis Analysis

et al. 2021

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The gradual deterioration of train wheels can increase the risk of failure and lead to a higher rate of track deterioration, resulting in less reliable railway systems with higher maintenance costs. Early detection of potential wheel damages allows railway infrastructure managers to control railway operators, leading to lower infrastructure maintenance costs. This study focuses on identifying the type of sensors that can be adopted in a wayside monitoring system for wheel flat detection, as well as their optimal position. The study relies on a 3D numerical simulation of the train-track dynamic response to the presence of wheel flats. The shear and acceleration measurement points were defined in order to examine the sensitivity of the layout schemes not only to the type of sensors (strain gauge and accelerometer) but also to the position where they are installed. By considering the shear and accelerations evaluated in 19 positions of the track as inputs, the wheel flat was identified by the envelope spectrum approach using spectral kurtosis analysis. The influence of the type of sensors and their location on the accuracy of the wheel flat detection system is analyzed. Two types of trains were considered, namely the Alfa Pendular passenger vehicle and a freight wagon.

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“…Gu et al [24] developed a two-dimensional wheel-rail interaction element composed of a wheel node and all the nodes of the rail that the wheel may pass through. Neves et al [25] and Montenegro et al [26] developed a WRI element considering only the vertical interaction. The WRI element was later enhanced by Montenegro et al[27,28] to consider the lateral interaction between wheel and rail.…”

Section: Introductionmentioning

confidence: 99%

A practical three-dimensional wheel-rail interaction element for dynamic response analysis of vehicle-track systems

Liu

Montenegro

et al. 2021

Computers & Structures

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A Nonlinear Vehicle Structure Interaction Methodology With Wheel Rail Detachment and Reattachment

Abstract: Abstract. A vehicle-structure interaction methodology with a nonlinear contact formulation

Cited by 8 publications

References 15 publications

Wheel Out-of-Roundness Detection Using an Envelope Spectrum Analysis

Wheel Out-of-Roundness Detection Using an Envelope Spectrum Analysis

Railway Vehicle Wheel Flat Detection with Multiple Records Using Spectral Kurtosis Analysis

A practical three-dimensional wheel-rail interaction element for dynamic response analysis of vehicle-track systems

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