Parallel co-simulation of locomotive wheel wear and rolling contact fatigue in a heavy haul train operational environment

Wu, Qing; Spiryagin, Maksym; Sun, Yan Quan; Cole, Colin

doi:10.1177/0954409720908497

Cited by 11 publications

(5 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Stage 3 should be realised on the virtual simulation platform that is commonly built on a High-Performance Computing (HPC) cluster. The digital twin model uses parallel computing and co-simulation technique between longitudinal train dynamics, vehicle dynamics and track dynamics (where a track model is implemented as a separate model) software packages [13,[22][23][24][25]. The process commonly uses one independent processor core on the HPC to simulate each vehicle (implemented in a multibody software package) in the train as it travels over the whole railway route.…”

Section: Design Methodologymentioning

confidence: 99%

Problems, assumptions and solutions in locomotive design, traction and operational studies

Spiryagin

Polách³

et al. 2022

Rail. Eng. Science

Self Cite

View full text Add to dashboard Cite

Locomotive design is a highly complex task that requires the use of systems engineering that depends upon knowledge from a range of disciplines and is strongly oriented on how to design and manage complex systems that operate under a wide range of different train operational conditions on various types of tracks. Considering that field investigation programs for locomotive operational scenarios involve high costs and cause disruption of train operations on real railway networks and given recent developments in the rollingstock compliance standards in Australia and overseas that allow the assessment of some aspects of rail vehicle behaviour through computer simulations, a great number of multidisciplinary research studies have been performed and these can contribute to further improvement of a locomotive design technique by increasing the amount of computer-based studies. This paper was focused on the presentation of the all-important key components required for locomotive studies, starting from developing a realistic locomotive design model, its validation and further applications for train studies. The integration of all engineering disciplines is achieved by means of advanced simulation approaches that can incorporate existing AC and DC locomotive designs, hybrid locomotive designs, full locomotive traction system models, rail friction processes, the application of simplified and exact wheel-rail contact theories, wheel-rail wear and rolling contact fatigue, train dynamic behaviour and in-train forces, comprehensive track infrastructure details, and the use of co-simulation and parallel computing. The co-simulation and parallel computing approaches that have been implemented on Central Queensland University’s High-Performance Computing cluster for locomotive studies will be presented. The confidence in these approaches is based on specific validation procedures that include a locomotive model acceptance procedure and field test data. The problems and limitations presented in locomotive traction studies in the way they are conducted at the present time are summarised and discussed.

show abstract

Section: Design Methodologymentioning

confidence: 99%

Problems, assumptions and solutions in locomotive design, traction and operational studies

Spiryagin

Polách³

et al. 2022

Rail. Eng. Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…Such wear is influenced by several mechanisms, for instance, presence of friction modifier/enhancer, fluctuating high contact pressure on a varying small contact patch due to different vehicle running conditions, various rolling/sliding speed, etc. Specifically, in the railway industry and academia, there are three widely accepted methods for estimating wheel and rail wear rates [4]: the T-gamma model [5,6], the Archard model developed by British Rail Research [7,8], and the USFD model from the University of Sheffield [9][10][11]. The T-gamma approach uses the wheel-rail contact pressure and sliding velocity to determine the energy dissipation from the wheel-rail contact and can be formulated as the T γ value [12]:…”

Section: Wear and Rcf Relationmentioning

confidence: 99%

Recent advances in wheel-rail RCF and wear testing

et al. 2023

Self Cite

View full text Add to dashboard Cite

The wear and rolling contact fatigue (RCF) testing approaches for wheels and rails have been reviewed and evaluated in this study. The study points out the advantages and limitations of the existing approaches. The broad analysis revealed that scaled laboratory-based wear testing is widely applied. However, it is necessary to predetermine the input parameters and observing parameters for scaled wear testing for three reasons: first, to emulate the real-world scenarios as closely as possible; second, to postprocess the results received from the scaled testing and transfer them into real practice at full scale; third, to present the results in a legible/appropriate format. Therefore, most of the important parameters required for wear testing have been discussed with fundamental and systematic explanations provided. Additionally, the transition of the parameters from the real-world into the test domain is explained. This study also elaborates on the challenges of the RCF and wear testing processes and concludes by providing major considerations toward successful testing.

show abstract

“…An upgrade was then proposed allowing to co-simulate the LTD and the dynamics of two locomotives, with the new model also relying on parallelization to reduce the computational times, implementing the strategy sketched in Fig. 5b [55]. The upgraded model focused on the locomotive wheel wear and estimated the damages due to RCF.…”

Section: Models Performing a Single Dynamic Simulation And A Single W...mentioning

confidence: 99%

“…Fig 5. Models performing a single dynamic simulation: a model by Central Queensland researchers without co-simulation (redrawn from[54]); b model by Central Queensland researchers with co-simulation and parallel computing techniques (redrawn from[55]); c model by Zhang et al[58] with co-simulation between Simpack MB model and Simulink wear computation model…”

mentioning

confidence: 99%

Simulation of wheel and rail profile wear: a review of numerical models

2022

View full text Add to dashboard Cite

The development of numerical models able to compute the wheel and rail profile wear is essential to improve the scheduling of maintenance operations required to restore the original profile shapes. This work surveys the main numerical models in the literature for the evaluation of the uniform wear of wheel and rail profiles. The standard structure of these tools includes a multibody simulation of the wheel–track coupled dynamics and a wear module implementing an experimental wear law. Therefore, the models are classified according to the strategy adopted for the worn profile update, ranging from models performing a single computation to models based on an online communication between the dynamic and wear modules. Nevertheless, the most common strategy nowadays relies on an iteration of dynamic simulations in which the profiles are left unchanged, with co-simulation techniques often adopted to increase the computational performances. Work is still needed to improve the accuracy of the current models. New experimental campaigns should be carried out to obtain refined wear coefficients and models, while strategies for the evaluation of both longitudinal and transversal wear, also considering the effects of tread braking, should be implemented to obtain accurate damage models.

show abstract

Parallel co-simulation of locomotive wheel wear and rolling contact fatigue in a heavy haul train operational environment

Cited by 11 publications

References 38 publications

Problems, assumptions and solutions in locomotive design, traction and operational studies

Problems, assumptions and solutions in locomotive design, traction and operational studies

Recent advances in wheel-rail RCF and wear testing

Simulation of wheel and rail profile wear: a review of numerical models

Contact Info

Product

Resources

About