Numerical simulation and parallel implementation of freight train air brake system
Zongze Yu, Yuguang Wei, Chuxuan Hu
TL;DR
This paper presents a parallel computing model to efficiently simulate the air brake system of long freight trains, improving simulation speed and accuracy.
Contribution
The novelty lies in a parallel computing approach for simulating train air brakes, using C# with ThreadPool and Parallel libraries to enhance efficiency.
Findings
Parallel computing outperforms serial computing in simulation efficiency, with speedup increasing with more CPU threads.
ThreadPool implementation is more efficient than Parallel library due to reduced scheduling overhead.
Simulation efficiency stabilizes when workload distribution is fully optimized, even with more vehicles.
Abstract
Numerical simulations of railway air brake systems are becoming increasingly computationally demanding due to the growing complexity and length of trains. This study introduces a parallel computing-enhanced model for simulating pressure dynamics in heavy-haul trains. The proposed approach assigns dedicated threads to each vehicle, with additional threads managing the interface fluxes of brake pipe connections, and is implemented in C# using the ThreadPool and Parallel libraries. A train configuration consisting of one locomotive and 116 vehicles was simulated under various brake pipe pressure reduction conditions. The validity of the air braking system simulation model was confirmed through comparisons with experimental data. Furthermore, the impact of parallel computing on simulation efficiency was investigated. The results indicate that the efficiency of serial computing is primarily…
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Taxonomy
TopicsRailway Engineering and Dynamics · Railway Systems and Energy Efficiency · Aerodynamics and Fluid Dynamics Research