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On-line Access: 2020-10-15

Received: 2020-01-21

Revision Accepted: 2020-08-28

Crosschecked: 2020-09-27

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Yun-guang Ye


Da-chuan Shi


Sara Poveda-Reyes


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


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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%A Yun-guang Ye
%A Da-chuan Shi
%A Sara Poveda-Reyes
%A Markus Hecht
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%D 2020
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%DOI 10.1631/jzus.A2000033

T1 - Quantification of the influence of rolling stock failures on track deterioration
A1 - Yun-guang Ye
A1 - Da-chuan Shi
A1 - Sara Poveda-Reyes
A1 - Markus Hecht
J0 - Journal of Zhejiang University Science A
VL - 21
IS - 10
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EP - 798
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A2000033

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.


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.


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

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


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