Coupler force and fatigue assessments with stochasticdraft gear frictions

IF 7.4 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2023-02-01 DOI:10.1016/j.jtte.2021.05.006

Qing Wu, Colin Cole, Maksym Spiryagin

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引用次数: 2

Abstract

Train dynamics and component fatigue assessments are important steps towards successful operations of long heavy haul trains. Longitudinal train dynamics (LTD) simulation is an effective and efficient approach in this regard. Draft gear friction has been known to have a strong stochastic feature. However, relevant train dynamics simulations have not been reported in open literature. This paper uses experimental data to extract the stochastic feature of draft gear friction. The stochastic feature is then introduced into LTD simulations. Coupler force and fatigue damage assessments were conducted by simulating a heavy haul train that has 244 vehicles and weighs nearly 30,000 tonnes. The results show that average in-train force variations due to stochastic friction were 55 and 40 kN for the traction and air brake cases respectively; maximum force variations were 207 and 98 kN for the traction and air brake cases respectively. Coupler fatigue calculations are even more sensitive to stochastic draft gear friction; the largest variations can be up to 700 times different due to the strong nonlinearity of fatigue calculation procedures. Stochastic friction is an unavoidable nature in friction draft gears. Simulations using stochastic draft gear friction can deliver results that are more robust and reliable.

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具有随机牵引齿轮摩擦的耦合器力和疲劳评估

列车动力学和部件疲劳评估是长途重载列车成功运行的重要步骤。纵向列车动力学（LTD）仿真是一种有效的方法。众所周知，缓冲器摩擦具有很强的随机性。然而，相关的列车动力学模拟尚未在公开文献中报道。本文利用实验数据提取了缓冲器摩擦的随机特征。然后将随机特征引入LTD模拟中。车钩力和疲劳损伤评估是通过模拟一列有244辆车、重量近30000吨的重载列车进行的。结果表明，在牵引和空气制动情况下，随机摩擦引起的列车内力的平均变化分别为55和40kN；牵引和空气制动情况下的最大力变化分别为207和98kN。车钩疲劳计算对随机牵引装置摩擦更为敏感；由于疲劳计算过程的强非线性，最大变化可能相差700倍。在摩擦缓冲器中，随机摩擦是不可避免的。使用随机缓冲器摩擦的模拟可以提供更稳健和可靠的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Traffic and Transportation Engineering-English Edition TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

13.60

自引率

6.30%

发文量

402

审稿时长

15 weeks

期刊介绍： The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.