Countermeasures for preventing coupler jack-knifing of slave control locomotives in 20,000-tonne heavy-haul trains during cycle braking

Ge, Xin; Ling, Liang; Chen, Shiqian; Wang, Chao; Zhou, Yichang; Xu, Binjie; Wang, Kaiyun

doi:10.1080/00423114.2021.1942509

Cited by 18 publications

(5 citation statements)

References 22 publications

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“…The air brake system is a fundamental piece of equipment for railway trains, which plays an important role in speed regulation during routine operations and the quick brake stop under emergency conditions. For conventional long freight trains, the performance of the air brake system affects intrain forces remarkably, which further influences the running safety of trains [1][2][3]. Due to the large scale of the system, the cost of a full-scale test platform is high, and numerical simulation techniques are widely adopted to study air brake systems.…”

Section: Introductionmentioning

confidence: 99%

An approach for simulating the air brake system of long freight trains based on fluid dynamics

Chen

Ling

et al. 2022

Rail. Eng. Science

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Air brake systems are critical equipment for railway trains, which affects the running safety of the trains significantly. To study air braking characteristics of long freight trains, an approach for simulating air brake systems based on fluid dynamics theory was proposed. The structures and working mechanisms of locomotive and wagon air brakes are introduced, and mathematical models of the pipes, brake valves, reservoirs or chambers, cylinders, etc., are presented. Besides, the dynamic motions of parts in the main valve are considered. The simulation model of the whole air brake system is then formulated, and the solving method based on the finite-difference method is used. New efficient pipe boundary conditions without iterations are developed for brake pipes and branch pipes, which can achieve higher computational efficiency. The proposed approach for simulating the air brake system is validated by comparing with published measured data. Simulation results of different train formations indicate that models that consider the dynamic behavior of brake pipes are recommended for predicting the characteristics of long trains under service braking conditions.

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Section: Introductionmentioning

confidence: 99%

An approach for simulating the air brake system of long freight trains based on fluid dynamics

Chen

Ling

et al. 2022

Rail. Eng. Science

Self Cite

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“…When a train operates on a long and steep downhill section, cyclic braking is adopted for speed control. To ensure sufficient braking force in the next braking cycle, sufficient time is required to refill the air pipe to full pressure [18]. That is, the duration of the release phase shall not be less than the minimum air filling time T a specified by the operating procedures.…”

Section: Running Constraintsmentioning

confidence: 99%

Cyclic Air Braking Strategy for Heavy Haul Trains on Long Downhill Sections Based on Q-Learning Algorithm

Zhang,

Zhou,

et al. 2024

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Cyclic air braking is a key factor affecting the safe operation of trains on long downhill sections. However, a train’s cycle braking strategy is constrained by multiple factors such as driving environment, speed, and air-refilling time. A Q-learning algorithm-based cyclic braking strategy for a heavy haul train on long downhill sections is proposed to address this challenge. First, the operating environment of a heavy haul train on long downhill sections is designed, considering various constraint parameters, such as the characteristics of special operating routes, allowable operating speeds, and train tube air-refilling time. Second, the operating status and braking operation of a heavy haul train on long downhill sections are discretized in order to establish a Q-table based on state–action pairs. The training of algorithm performance is achieved by continuously updating Q-tables. Finally, taking the heavy haul train formation as the study object, actual line data from the Shuozhou–Huanghua Railway are used for experimental simulation, and different hyperparameters and entry speed conditions are considered. The results show that the safe and stable cyclic braking of a heavy haul train on long downhill sections is achieved. The effectiveness of the Q-learning control strategy is verified.

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“…Equations (1)(2)(3)(4)(5)(6) show the dynamic interactions of the forces and pressures acting on the main valve and the check valve. These include in particular the forces due to the atmospheric pressure P atm , the brake cylinder pressure P bc (t), the brake pipe pressure P B (t) and the control pressure P C (t).…”

Section: Main and Check Valve Dynamicsmentioning

confidence: 99%

“…The effectiveness of this system has a significant influence on the forces acting on the train and therefore has a direct impact on driving safety. [1,2] As the construction of full-scale models for testing is costly, numerical simulations have become the accepted method for studying air brake systems. Commonly used empirical models include look-up table and fitting formula approaches, which are primarily used in practical applications that DOI: 10.1002/adts.202301257 require a general understanding of air brake systems, such as signal design and stopping distance estimation.…”

Section: Introductionmentioning

confidence: 99%

Development of an Operational Digital Twin of a Freight Car Braking System for Fault Diagnosis

Davidyan,

Bortman,

Kenett

2024

Advcd Theory and Sims

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In the evolving landscape of digital technology, the concept of digital twinning has emerged as one of the most important innovations. Digital twinning, characterized by a one‐to‐one correlation with physical structures in a digital environment, has become an important tool in transferring physical dynamics into digital replicas. This platform, integrating advanced sensor technologies and analytical tools, enables a comprehensive monitoring, diagnosis, and optimization concept. The present research focuses on the application of digital twinning in addressing the complex challenge of managing fault types in freight car brakes. A Digital Twin (DT) model of a freight car braking system is developed that forms the basis for an innovative approach to fault classification. This approach leverages the ability of the DT to emulate and analyze the behavior of the braking system under different conditions. The effectiveness of the proposed method is evaluated through extensive testing and analysis with an experimental data set. The results show that the method is able to accurately diagnose different types of faults. This represents a significant advance in the field of freight car brake system diagnosis.

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Countermeasures for preventing coupler jack-knifing of slave control locomotives in 20,000-tonne heavy-haul trains during cycle braking

Cited by 18 publications

References 22 publications

An approach for simulating the air brake system of long freight trains based on fluid dynamics

An approach for simulating the air brake system of long freight trains based on fluid dynamics

Cyclic Air Braking Strategy for Heavy Haul Trains on Long Downhill Sections Based on Q-Learning Algorithm

Development of an Operational Digital Twin of a Freight Car Braking System for Fault Diagnosis

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