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CLC number: U270

On-line Access: 2020-10-15

Received: 2020-01-21

Revision Accepted: 2020-08-28

Crosschecked: 2020-09-27

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Yun-guang Ye

https://orcid.org/0000-0002-2921-8420

Da-chuan Shi

https://orcid.org/0000-0002-9296-7213

Sara Poveda-Reyes

https://orcid.org/0000-0002-4869-5134

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Journal of Zhejiang University SCIENCE A 2020 Vol.21 No.10 P.783-798

http://doi.org/10.1631/jzus.A2000033


Quantification of the influence of rolling stock failures on track deterioration


Author(s):  Yun-guang Ye, Da-chuan Shi, Sara Poveda-Reyes, Markus Hecht

Affiliation(s):  Institute of Land and Sea Transport Systems, Technical University of Berlin, Berlin 10587, Germany; more

Corresponding email(s):   dachuan.shi@tu-berlin.de

Key Words:  Rolling stock failure (RSF), Track deterioration, Quantification, Track charging, Wheel flat

This article has been corrected, see doi:10.1631/jzus.A20e0033


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Yun-guang Ye, Da-chuan Shi, Sara Poveda-Reyes, Markus Hecht. Quantification of the influence of rolling stock failures on track deterioration[J]. Journal of Zhejiang University Science A, 2020, 21(10): 783-798.

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Abstract: 
This study focuses on the quantification of the influence of rolling stock failures (RSFs) on railway infrastructure. Taking the wheel flat, a common RSF, as an example, we introduce four quantification indexes to evaluate the influence on the following four deterioration mechanisms: track settlement (TS), track component fatigue (TCF), abrasive wear (AW), and rolling contact fatigue (RCF). Our results indicate that TS, TCF, and AW increase sharply with the increase of the wheel flat length and the vehicle speed, and this increasing trend becomes more acute with the increase of the wheel flat length and the vehicle speed. At low speeds, RCF increases gradually as the wheel flat length increases; at high speeds, it increases sharply at first and then decreases gradually. The influence of the wheel flat on TCF and AW is the most obvious, followed by TS and RCF. These findings can help infrastructure managers (IMs) to better understand infrastructure conditions related to RSFs and can aid them in managing problems with vehicle abnormality in track access charging.

量化铁路车辆机械故障对轨道退化的影响

目的:了解和量化铁路车辆机械故障对铁路基础设施退化的影响有利于提高列车安全性,合理制定维护策略,以及优化轨道收费模型.本研究为欧洲Shift2Rail-Assets4rail项目的一部分(报告以非公开的形式被递交),旨在量化铁路车辆机械故障对轨道退化的影响,为调整现有的轨道收费模型提供合理的建议.
创新点:1. 分析一个常见的铁路车辆机械故障(擦伤)对四个用于轨道收费模型的量化指标的影响; 2. 引入金代理模型方法以减少仿真次数.
方法:1. 建立一个带有擦伤的机车多体动力学模型,并考虑车轮和轨道的柔性; 2. 引入金代理模型以量化车辆速度和擦伤尺寸对四种损坏机制(轨道沉降、轨道构件疲劳、钢轨磨耗和钢轨滚动接触疲劳)的影响.
结论:1. 轨道沉降、轨道构件疲劳和钢轨磨耗随着擦伤尺寸和车速的增加而急剧增加,并且这种增加趋势随着擦伤尺寸和车速的增加而变得更加尖锐. 2. 在低速时,滚动接触疲劳随着擦伤尺寸的增加而逐渐增加;在高速时,它首先急剧增加,然后逐渐减小. 3. 擦伤对轨道构件疲劳和钢轨磨耗的影响最为显著,其次是轨道沉降和滚动接触疲劳.

关键词:铁路车辆故障;轨道退化;量化;轨道收费;擦伤

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

This article has been corrected, see doi:10.1631/jzus.A20e0033

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