Explicit finite element simulations of dynamic low adhesion behavior between wheel and rail in the presence of high-frequency vibrations

振动 有限元法 结构工程 车轮运转 工程类 机械 物理 声学 医学 内分泌学
作者
Wen Liu,Shuangchao Huang,Hongfeng Qi,Xin Zhao,Shulin Liang,Xuesong Jin
出处
期刊:Engineering Computations [Emerald Publishing Limited]
卷期号:41 (5): 1185-1202 被引量:3
标识
DOI:10.1108/ec-01-2024-0028
摘要

Purpose Dynamic low adhesion (DLA) has become an urgent problem for the high-speed wheel-rail system because of continuous decrease of adhesion redundancy in the past decades. This article aims to provide a simulation method to reveal the mechanism of DLA under high-frequency vibrations. Design/methodology/approach A transient wheel-rail rolling contact model is developed for a typical Chinese high-speed railway system using the explicit finite element (FE) method. Instantaneous adhesion exploitation levels are studied in the time domain, for which driving cases over corrugated rails are taken as an example. A speed up to 500 km/h is considered together with different traction coefficients and corrugation dimensions. DLA is expected when the instantaneous adhesion exploitation level reaches 1.0, that is adhesion saturates and full sliding contact occurs. Findings The instantaneous adhesion exploitation level can be very high in the presence of corrugation, even at low traction coefficients. DLA is found to occur as great vertical unloading takes place and causes a significant increase of creepage. An approach is further developed to determine the critical depth of corrugation over which DLA occurs. Originality/value This study employs the transient wheel-rail rolling contact model to predict the instantaneous adhesion exploitation level under high-frequency vibrations. The presented results reveal a mechanism of DLA being beneficial to guidelines for future railway practice.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
SciGPT应助CMUSK采纳,获得10
刚刚
喔喔发布了新的文献求助10
1秒前
小小鹿发布了新的文献求助10
1秒前
Makubes发布了新的文献求助10
2秒前
miracle发布了新的文献求助10
2秒前
阔达的傲芙完成签到 ,获得积分10
2秒前
ljnbb1发布了新的文献求助10
3秒前
6秒前
平淡远山完成签到,获得积分10
7秒前
细腻的向彤完成签到,获得积分10
8秒前
鸣谦完成签到,获得积分20
8秒前
落尘府完成签到 ,获得积分10
10秒前
披霄决汉完成签到,获得积分10
10秒前
小杨小杨发布了新的文献求助10
10秒前
11秒前
大模型应助miracle采纳,获得10
11秒前
研友_VZG7GZ应助初恋薛之谦采纳,获得10
12秒前
田様应助AryaZzz采纳,获得30
12秒前
无输发布了新的文献求助10
12秒前
大模型应助小舒采纳,获得10
13秒前
小鱼发布了新的文献求助10
15秒前
16秒前
谨慎的猕猴桃完成签到,获得积分10
16秒前
17秒前
18秒前
加壹完成签到 ,获得积分10
18秒前
19秒前
momomomo123发布了新的文献求助20
20秒前
CMUSK发布了新的文献求助10
20秒前
月下荷花完成签到 ,获得积分10
21秒前
21秒前
迅速冰之完成签到,获得积分10
21秒前
南桑完成签到 ,获得积分10
22秒前
Ava应助小正采纳,获得10
22秒前
22秒前
东隅已逝桑榆非晚完成签到,获得积分10
22秒前
Ava应助天真静竹采纳,获得10
23秒前
24秒前
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366180
求助须知:如何正确求助?哪些是违规求助? 8180082
关于积分的说明 17244573
捐赠科研通 5420962
什么是DOI,文献DOI怎么找? 2868279
邀请新用户注册赠送积分活动 1845413
关于科研通互助平台的介绍 1692909