Heavy-Haul Train Braking Simulation With Fluid Dynamics-Based Air Braking System

The dynamics of heavy-haul trains during braking are highly intricate, directly impacting their operational safety. A heavy-haul train longitudinal-vertical coupled dynamics model (HTLVDM) considering the air braking system is established in this paper. Based on the fluid dynamics theory, a detailed air braking system is established, which considers the characteristics of brake pipes, reservoirs and brake waves. The HTLVDM in-corporates locomotive and wagon components, along with nonlinear hysteresis characteristics of the coupler draft gear. Thus, the air braking system, which delivers pressure signals from the brake pipe to the brake cylinder via a control valve, is coupled to the locomotive and wagon dynamics system through a brake shoe. This model facilitates studying the dynamic performance of the entire system under varied train formations and braking strategies. Using this model, we compare and analyze the impacts of the fluid dynamics model (FDM) and empirical model (EM) of the air braking system on train dynamics behavior. Results reveal significant differences in train dynamic behavior between FDM and EM simulations, highlighting the necessity of employing the FDM for evaluating train operation safety.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-04-14
DOI
https://doi.org/10.1109/tits.2025.3558200
Citations
3
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
3.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Heavy-Haul Train Braking Simulation With Fluid Dynamics-Based Air Braking System

Pengfei Liu, Mingtao Zhang, Weihua Zhang, Zhiwei Wang et al.
3 citations
IEEE Transactions on Intelligent Transportation Systems
Railway Systems and Energy Efficiency
3.73
article

Heavy-Haul Train Braking Simulation With Fluid Dynamics-Based Air Braking System

Pengfei Liu, Mingtao Zhang, Weihua Zhang, Zhiwei Wang, K. Liu, Yao Luo
article en
3 citations

Abstract

The dynamics of heavy-haul trains during braking are highly intricate, directly impacting their operational safety. A heavy-haul train longitudinal-vertical coupled dynamics model (HTLVDM) considering the air braking system is established in this paper. Based on the fluid dynamics theory, a detailed air braking system is established, which considers the characteristics of brake pipes, reservoirs and brake waves. The HTLVDM in-corporates locomotive and wagon components, along with nonlinear hysteresis characteristics of the coupler draft gear. Thus, the air braking system, which delivers pressure signals from the brake pipe to the brake cylinder via a control valve, is coupled to the locomotive and wagon dynamics system through a brake shoe. This model facilitates studying the dynamic performance of the entire system under varied train formations and braking strategies. Using this model, we compare and analyze the impacts of the fluid dynamics model (FDM) and empirical model (EM) of the air braking system on train dynamics behavior. Results reveal significant differences in train dynamic behavior between FDM and EM simulations, highlighting the necessity of employing the FDM for evaluating train operation safety.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(8)
Southwest Jiaotong University (CN), Shijiazhuang Tiedao University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 7%
Railway Systems and Energy Efficiency
3.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Heavy-Haul Train Braking Simulation With Fluid Dynamics-Based Air Braking System — Pengfei Liu, Mingtao Zhang, et al. · IEEE Transactions on Intelligent Transportation Systems (2025) | TGRS Research Map | TGRS