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15-02-2024 | Body and Safety, Chassis, Human Factors and Ergonomics, Materials and Recycling, Noise, Vibration and Harshness, Transmission and Driveline, Vehicle Dynamics and Control

Enhancing Train Coupling Simulation by Incorporating Speed-Dependent Energy Absorber Characteristics Through a Deep Neural Network

Authors: Jun Hyeok Hwang, Hyun Seung Jung, Jin Sung Kim, Seung Ho Ahn, Hyung Gyeun Gil

Published in: International Journal of Automotive Technology | Issue 3/2024

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Abstract

Recently, hydrostatic buffers have emerged as energy-absorbing components in railway vehicles. These buffers exhibit speed-dependent characteristics, with their reaction forces contingent upon compression displacement and speed. However, when dealing with a hydrostatic buffer with an unknown characteristic function in dynamic simulations, accommodating its speed-dependent attributes becomes a challenging task. In this study, we proposed a method for simulating train couplings that incorporates the speed-dependent characteristics of a hydrostatic buffer by utilizing a deep neural network (DNN). Our methodology involved the training of a DNN-based speed-dependent buffer model using empirical data obtained from dynamic buffer tests. Subsequently, this model was applied to a multibody dynamics simulation for train coupling analysis. A critical aspect of this study involved comparing speed-dependent and speed-independent models in a train coupling scenario. This comparison reveals a significant insight: neglecting speed-dependent characteristics in coupling simulations can lead to inaccurate train-coupling safety assessments. The DNN-based method demonstrated its effectiveness, even with limited test data and when the mathematical speed-dependent characteristic function of the buffer is unknown.

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Metadata
Title
Enhancing Train Coupling Simulation by Incorporating Speed-Dependent Energy Absorber Characteristics Through a Deep Neural Network
Authors
Jun Hyeok Hwang
Hyun Seung Jung
Jin Sung Kim
Seung Ho Ahn
Hyung Gyeun Gil
Publication date
15-02-2024
Publisher
The Korean Society of Automotive Engineers
Published in
International Journal of Automotive Technology / Issue 3/2024
Print ISSN: 1229-9138
Electronic ISSN: 1976-3832
DOI
https://doi.org/10.1007/s12239-024-00052-4

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