The influence of vehicle system dynamics on rail foot heat transfer

Bosomworth, Chris; Spiryagin, Maksym; Alahakoon, Sanath; Cole, Colin

doi:10.1080/14484846.2018.1457260

Cited by 6 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As multithreading deals with multiple threads that are in the same process, it understandably uses the shared memory parallel computing model as shown in Figure 3(b). Applications using Pthreads have been reported from [49,50]; and Reference [15] used WinAPI threads. Besides Pthreads and WinAPI threads, JAVA and Matlab also provide high level multithreading API.…”

Section: Multithreadingmentioning

confidence: 99%

See 1 more Smart Citation

Parallel computing in railway research

Spiryagin

Cole

et al. 2018

International Journal of Rail Transportation

Self Cite

View full text Add to dashboard Cite

Available computing power for researchers has been increasing exponentially over the last decade. Parallel computing is possibly the best way to harness computing power provided by multiple computing units. This paper reviews parallel computing applications in railway research as well as the enabling techniques used for the purpose. Nine enabling techniques were reviewed and Message Passing Interface, Domain Decomposition and Hadoop & Apache are the top three most widely used enabling techniques. Seven major application topics were reviewed and iterative optimisations, continuous dynamics and data & signal analysis are the most widely reported applications. The reasons why these applications are suitable for parallel computing were discussed as well as the suitability of various enabling techniques for different applications. Computing time speed-ups that were reported from these applications were summarised. The challenges for applying parallel computing for railway research are discussed. ARTICLE HISTORY

show abstract

Section: Multithreadingmentioning

confidence: 99%

“…In Reference [31], vehicle-track dynamics were studied and two computing units were used to simulate the vehicle and the track in parallel. Bosomworth et al [50] also used parallel computing to conduct three-dimensional train dynamics simulations where the thermal effects of interaction between wheels and rails were studied.…”

Section: Vsdmentioning

confidence: 99%

Parallel computing in railway research

Spiryagin

Cole

et al. 2018

International Journal of Rail Transportation

Self Cite

View full text Add to dashboard Cite

show abstract

“…For simulations where only small number of vehicles and/or short simulated time is required, the computational speed becomes relatively insignificant, as the total simulation time should be acceptable anyway. Whereas for simulations that do require simulations of many vehicles and long simulated time, such as whole-trip simulations and optimisation studies, [20][21][22] computational speed becomes significant. Fast air brake models are also chased by researchers who focus on train driving controls.…”

Section: Introductionmentioning

confidence: 99%

An experiment-based empirical model for heavy-haul train air brake

Fan¹,

Li²,

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

The latest international survey shows that slow computational speed is still a significant issue for air brake models. Fluid dynamics air brake models can be more accurate but are slower in computing speed. Empirical models are reported as effective and more efficient. This article developed a new experimental based empirical air brake model that is more comprehensive and can be used to simulate both pneumatically and electronically controlled air brake systems, as well as locomotive air brake systems and brake systems for radio-based distributed power trains. Multiple functions were used to simulate various characteristics of brake cylinder pressures, which enables the model to capture more details. An activating algorithm was developed to further improve the computational efficiency. Case studies were conducted to compare the simulation results with experimental data. Simulation results and experimental data had good agreements regarding brake delays, force patterns and cylinder pressure amplitudes. The empirical air brake model is about 70 times faster than a fluid dynamics model and 7.4 times faster than real-time.

show abstract

“…In addition, because of the large investment in hardware testing and the high operating cost, the multiple test verification of the eddy current heating application process [ 20 , 21 ] makes the computer numerical simulation preferable in order to simulate the electric vortex positive heat treatment of the steel rail on the high-speed rail track [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Eddy Current Welding of Rail: Three-Dimensional Simulation

Sun

Liu

Song

et al. 2020

Entropy

View full text Add to dashboard Cite

In this paper is given a three-dimensional numerical simulation of the eddy current welding of rails where the longitudinal two directions are not ignored. In fact, usually it is considered a model where, in the two-dimensional numerical simulation of rail heat treatment, the longitudinal directions are ignored for the magnetic induction strength and temperature, and only the axial calculation is performed. Therefore, we propose the electromagnetic-thermal coupled three-dimensional model of eddy current welding. The induced eddy current heat is obtained by adding the z-axis spatial angle to the two-dimensional electromagnetic-thermal, thus obtaining some new results by coupling the numerical simulation and computations of the electric field and magnetic induction intensity of the three-dimensional model. Moreover, we have considered the objective function into a weak formulation. The three-dimensional model is then meshed by the finite element method. The electromagnetic-thermal coupling has been numerically computed, and the parametric dependence to the eddy current heating process has been fully studied. Through the numerical simulation with different current densities, frequencies, and distances, the most suitable heat treatment process of U75V rail is obtained.

show abstract

The influence of vehicle system dynamics on rail foot heat transfer

Cited by 6 publications

References 9 publications

Parallel computing in railway research

Parallel computing in railway research

An experiment-based empirical model for heavy-haul train air brake

Modeling of Eddy Current Welding of Rail: Three-Dimensional Simulation

Contact Info

Product

Resources

About