Wheel life prediction model – an alternative to the FASTSIM algorithm for RCF

Nia, Saeed Hossein; Sichani, Matin Sh.; Stichel, Sebastian; Casanueva, Carlos

doi:10.1080/00423114.2017.1403636

Cited by 37 publications

(23 citation statements)

References 21 publications

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“…It is important to bear in mind that the damage index function is specific for the sites studied in Burstow's report [14]. To assess different track sections, some modifications are required, as applied by [37][38][39]. This can be done recalculating the turning points of the damage function using the equation…”

Section: Rcf Crack Initiationmentioning

confidence: 99%

Prediction of Rolling Contact Fatigue Behavior in Rails Using Crack Initiation and Growth Models along with Multibody Simulations

et al. 2021

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Rolling contact fatigue (RCF) is a common cause of rail failure due to repeated stresses at the wheel-rail contact. This phenomenon is a real problem that greatly affects the safety of train operation. Preventive and corrective maintenance tasks have a big impact on the Life Cycle Cost (LCC) of railway assets, and therefore cutting-edge strategies based on predictive functionalities are needed to reduce it. A methodology based on physical models is proposed to predict the degradation of railway tracks due to RCF. This work merges a crack initiation and a crack growth model along with a fully nonlinear multibody model. From a multibody assessment of the vehicle-track interaction, an energy dissipation method is used to identify points where cracks are expected to appear. At these points, crack propagation is calculated considering the contact conditions as a function of crack depth. The proposed methodology has been validated with field measurements, conducted using Eddy Currents provided by the infrastructure manager Network Rail. Validation results show that RCF behavior can be predicted for track sections with different characteristics without the necessity of previous on-track measurements.

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Section: Rcf Crack Initiationmentioning

confidence: 99%

Prediction of Rolling Contact Fatigue Behavior in Rails Using Crack Initiation and Growth Models along with Multibody Simulations

et al. 2021

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“…One of the major issues concerning the dynamic modelling and simulation of railway vehicles deals with the evaluation of the vehicle-track interaction, which consists of the solution of the contact between the wheels and the rails. This issue plays a key role on the multibody simulations since it not only affects the motion of the vehicle [16] but also allows the study and prediction of some damaging phenomena, such as wear [17][18][19][20][21] or rolling contact fatigue [22,23]. In fact, the development of accurate and efficient methodologies to deal with the assessment of wheel-rail contact became an important research topic for railway system dynamics [24,25].…”

Section: Introductionmentioning

confidence: 99%

A three-dimensional approach for contact detection between realistic wheel and rail surfaces for improved railway dynamic analysis

Marques

Magalhães

Pombo

et al. 2020

Mechanism and Machine Theory

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The wheel-rail contact modelling problem assumes a preponderant role on the dynamic analysis of railway systems using multibody systems formulations. The accurate and efficient evaluation of both location and magnitude of the wheel-rail contact forces is fundamental for the development of reliable computational tools. The wheel concave zone might be a source of numerical difficulties when searching the contact points, which has been neglected in several works. Here, it is demonstrated that the minimum distance method does not always converge when the wheel surface is not fully convex, being an alternative methodology proposed to perform the contact detection. This approach examines independently the contact between each wheel strip and the rail, where the maximum virtual penetration is determined and associated with the location of the contact point. Then, an Hertzian-based force model is considered for both normal and tangential forces. The results obtained from dynamic simulations show that the minimum distance method and the proposed methodology provide a similar response for simplified wheel profiles. However, the new approach described here is reliable in the identification of the contact point when realistic wheel profiles are considered, which is not the case with the minimum distance method.

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“…Most of them are based on the mechanism to model the wheel wear, rolling contact fatigue and other degradation processes [1,2]. Hossein-Nia et al [3] developed a model to estimate the evolution of surface-initiated Rolling Contact Fatigue (RCF). In this model for RCF calculations, a shakedown-based theory is applied locally, and the FaStrip algorithm is used to estimate the tangential stresses.…”

Section: Introductionmentioning

confidence: 99%

Centralized Maintenance Time Prediction Algorithm for Freight Train Wheels Based on Remaining Useful Life Prediction

Shi

Yang

2020

Mathematical Problems in Engineering

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Many freight trains for special lines have in common the characteristics of a fixed group. Centralized Condition-Based Maintenance (CCBM) of key components, on the same freight train, can reduce maintenance costs and enhance transportation efficiency. To this end, an optimization algorithm based on the nonlinear Wiener process is proposed, for the prediction of the train wheels Remaining Useful Life (RUL) and the centralized maintenance timing. First, Hodrick–Prescott (HP) filtering algorithm is employed to process the raw monitoring data of wheel tread wear, extracting its trend components. Then, a nonlinear Wiener process model is constructed. Model parameters are calculated with a maximum likelihood estimation and the general deterioration parameters of wheel tread wear are obtained. Then, the updating algorithm for the drift coefficient is deduced using Bayesian formula. The online updating of the model is realized, based on individual wheel monitoring data, while a probability density function of individual wheel RUL is obtained. A prediction method of RUL for centralized maintenance is proposed, based on two set thresholds: “maintenance limit” and “the ratio of limit-arriving.” Meanwhile, a CCBM timing prediction algorithm is proposed, based on the expectation distribution of individual wheel RUL. Finally, the model is validated using a 500-day online monitoring data on a fixed group, consisting of 54 freight train cars. The validation result shows that the model can predict the wheels RUL of the train for CCBM. The proposed method can be used to predict the maintenance timing when there is a large number of components under the same working conditions and following the same path of degradation.

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Wheel life prediction model – an alternative to the FASTSIM algorithm for RCF

Cited by 37 publications

References 21 publications

Prediction of Rolling Contact Fatigue Behavior in Rails Using Crack Initiation and Growth Models along with Multibody Simulations

Prediction of Rolling Contact Fatigue Behavior in Rails Using Crack Initiation and Growth Models along with Multibody Simulations

A three-dimensional approach for contact detection between realistic wheel and rail surfaces for improved railway dynamic analysis

Centralized Maintenance Time Prediction Algorithm for Freight Train Wheels Based on Remaining Useful Life Prediction

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