Prediction of the rail-wheel contact wear of an innovative bogie by simulation analysis

Pavlík, Alfréd; Gerlici, Juraj; Lack, Tomáš; Hauser, Vladimír; Šťastniak, Pavol

doi:10.1016/j.trpro.2019.07.120

Cited by 13 publications

(6 citation statements)

References 14 publications

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“…It has specifics, which predetermine it for longer distances [35][36]. It is connected with the development of newer and more effective wagons and their structural units [37][38][39][40][41][42]. Therefore, the future research in this field will be focused on investigation of a wagon under various operational conditions.…”

Section: Discussionmentioning

confidence: 99%

Calculation of Basic Indicators of Running Safety on the Example of a Freight Wagon with the y25 Bogie

Dižo¹,

Blatnický²,

Molnár³

et al. 2022

Komunikácie

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ResumeFreight wagons are among the most widely used means of transporting goods by land. Such a number of wagons and transported material and amount of material need to meet requirements in terms of safety and reliability. A wagon bogie is a key element in the wagon running safety point of view. The Y25 bogie is a most used bogie for freight wagons in the region of the central and west Europe. As this bogie was developed several decades ago, it is interesting to evaluate its running properties according to current standards. The presented research brings results of calculation of chosen basic indicators in terms of running safety. The calculations of the freight wagon with the Y25 bogie was performed by means of a multibody model. Simulation computations were carried out for an empty and loaded wagon, which has been running in curves with various radii and at several running speeds.

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Section: Discussionmentioning

confidence: 99%

Calculation of Basic Indicators of Running Safety on the Example of a Freight Wagon with the y25 Bogie

Dižo¹,

Blatnický²,

Molnár³

et al. 2022

Komunikácie

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“…It is a robust simulation tool for the creation, simulation and analysis of various mechanical systems including a mechanical system of transport means. In particular, the Simpack software is a powerful software package in the field of railway technologies [21,22,[33][34][35][36]. It has implemented the most known algorithms for the calculation of a specific phenomenon related with wheel/rail contact, which plays a very important and key role in rail vehicle dynamics [37,38] and whose proper setting is also essential for correct calculations of wanted output quantities in this presented work.…”

Section: A Rail Vehicle Modelmentioning

confidence: 99%

“…technologies [21,22,[33][34][35][36]. It has implemented the most known algorithms for the calculation of a specific phenomenon related with wheel/rail contact, which plays a very important and key role in rail vehicle dynamics [37,38] and whose proper setting is also essential for correct calculations of wanted output quantities in this presented work.…”

Section: A Rail Vehicle Modelmentioning

confidence: 99%

Assessment of Dynamics of a Rail Vehicle in Terms of Running Properties While Moving on a Real Track Model

et al. 2022

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Simulation computations represent a very effective tool for investigating operational characteristics and behaviours of vehicles without having a real product. The rail vehicles sector is typical, in that simulation computations including multibody modelling of individual vehicles (i.e., wagons) as well as entire trainsets are widely used. In the case of designing rail vehicles, running safety and ride comfort are two of the most important assessment areas. The presented work is focused on the research of the dynamical effects of a rail vehicle while running on a railway track created in a commercial multibody model. There is a lot of research focused on the investigation of dynamic performances while a rail vehicle is running on a flexible railway track. The real operation of a rail vehicle meets problems on track, where the stiffness-damping parameters of a railway track vary in transient sections (e.g., the exit of a tunnel). This work brings a contribution to research related to the assessment of the dynamic response of a rail vehicle on a chosen track section. A passenger railway vehicle is chosen as a reference multibody model. Simulation computations were performed for three different railway track models, i.e., for a rigid track model and for a flexible track model defined in two different manners. The stiffness-damping parameters of the rail vehicle are defined symmetrically in relation to the longitudinal axis of the vehicle, e.g., they are the same values for the left and right side. The centre of gravity is not located symmetrically, but it is partially shifted in the lateral direction. This can be observed in the results of wheel forces and their waveforms. There are evaluated values and waveforms of the vertical wheel forces, the lateral wheel forces and the derailment quotient. The obtained results have revealed the influence of the railway track formulation in the model on the output parameters.

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“…Brunel et al studied the stress-strain response of different steel grades of rails in contact with wheels by using the finite element method [1] . Pavlík et al analyzed and predicted the wear of curved tracks caused by wheel-rail contact through simulations with SIMPACK software [2] . Madge et al discussed the fatigue crack initiation, and wear processes were analyzed by using the Archard wear model and the critical plane method prediction model of crack initiation [3] .…”

Section: Introductionmentioning

confidence: 99%

Degradation trend prediction of rail stripping for heavy haul railway based on multi-strategy hybrid improved pelican algorithm

Zhang,

Jiang,

Liu

et al. 2023

Intelligence & Robotics

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As a key component of the heavy-haul railway system, the rail is prone to damages caused by harsh operating conditions. To secure a safe operation, it is of great essence to detect the damage status of the rail. However, current damage detection methods are mainly manual, so problems such as strong subjectivity, lag in providing results, and difficulty in quantifying the degree of damage are easily generated. Therefore, a new prediction method based on the improved pelican algorithm and channel attention mechanism is proposed to evaluate the stripping of heavy-haul railway rails. By processing the rail vibration acceleration, it predicts the stripping damage degree. Specifically, a comprehensive health index measuring the degree of rail stripping is first established by principal component analysis and correlation analysis to avoid the one-sidedness of a single evaluation index. Then, the convolutional bidirectional gated recursive network is trained and generalized, and the pelican algorithm, improved by multiple hybrid strategies, is used to optimize the hyperparameters in the network so as to find the optimal solution by constantly adjusting the search strategy. The squeeze-excitation channel attention module is then incorporated to re-calibrate the weights of valid features and to improve the accuracy of the model. Finally, the proposed method is tested on a specific rail stripping dataset and a public dataset of PHM2012 bearings, and the generalization and effectiveness performance of the proposed method is proved.

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Prediction of the rail-wheel contact wear of an innovative bogie by simulation analysis

Cited by 13 publications

References 14 publications

Calculation of Basic Indicators of Running Safety on the Example of a Freight Wagon with the y25 Bogie

Calculation of Basic Indicators of Running Safety on the Example of a Freight Wagon with the y25 Bogie

Assessment of Dynamics of a Rail Vehicle in Terms of Running Properties While Moving on a Real Track Model

Degradation trend prediction of rail stripping for heavy haul railway based on multi-strategy hybrid improved pelican algorithm

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