A method for assessing wheel fatigue reliability considering multiaxial stress state

Electric multiple unit is a modern transportation tool with high efficiency and large carrying capacity. Regarding its high speed, reliability requirement of the train is very important. As the main load bearing component of a train, the wheel is subjected to harsh working condition. Rolling contact...

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Bibliographic Details
Main Authors: Liuqing Yang, Ming Hu, Deming Zhao, Jing Yang, Xun Zhou
Format: Article
Language:English
Published: SAGE Publishing 2020-01-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814020902341
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spelling doaj-9e8c0aca17d7499981bb611d518efde22020-11-25T03:36:31ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402020-01-011210.1177/1687814020902341A method for assessing wheel fatigue reliability considering multiaxial stress stateLiuqing YangMing HuDeming ZhaoJing YangXun ZhouElectric multiple unit is a modern transportation tool with high efficiency and large carrying capacity. Regarding its high speed, reliability requirement of the train is very important. As the main load bearing component of a train, the wheel is subjected to harsh working condition. Rolling contact between wheel and rail leads to wheel fatigue failure so that the fatigue reliability of wheel becomes one of the most attractive fields in electric multiple unit reliability study. This article proposed a fatigue reliability assessment method. It could obtain critical parts’ stress distribution efficiently through the force–stress relationship received by numerical simulation, so that it could assess wheel fatigue reliability under measured force–time spectrum. Also, multiaxial fatigue is considered in the method and the equivalent stress can be obtained by multiaxial model and fatigue experiment. Result of the case study shows that fatigue reliability of China Railway High-speed 5 wheel at 60,000 km mileage is 68%.https://doi.org/10.1177/1687814020902341
collection DOAJ
language English
format Article
sources DOAJ
author Liuqing Yang
Ming Hu
Deming Zhao
Jing Yang
Xun Zhou
spellingShingle Liuqing Yang
Ming Hu
Deming Zhao
Jing Yang
Xun Zhou
A method for assessing wheel fatigue reliability considering multiaxial stress state
Advances in Mechanical Engineering
author_facet Liuqing Yang
Ming Hu
Deming Zhao
Jing Yang
Xun Zhou
author_sort Liuqing Yang
title A method for assessing wheel fatigue reliability considering multiaxial stress state
title_short A method for assessing wheel fatigue reliability considering multiaxial stress state
title_full A method for assessing wheel fatigue reliability considering multiaxial stress state
title_fullStr A method for assessing wheel fatigue reliability considering multiaxial stress state
title_full_unstemmed A method for assessing wheel fatigue reliability considering multiaxial stress state
title_sort method for assessing wheel fatigue reliability considering multiaxial stress state
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2020-01-01
description Electric multiple unit is a modern transportation tool with high efficiency and large carrying capacity. Regarding its high speed, reliability requirement of the train is very important. As the main load bearing component of a train, the wheel is subjected to harsh working condition. Rolling contact between wheel and rail leads to wheel fatigue failure so that the fatigue reliability of wheel becomes one of the most attractive fields in electric multiple unit reliability study. This article proposed a fatigue reliability assessment method. It could obtain critical parts’ stress distribution efficiently through the force–stress relationship received by numerical simulation, so that it could assess wheel fatigue reliability under measured force–time spectrum. Also, multiaxial fatigue is considered in the method and the equivalent stress can be obtained by multiaxial model and fatigue experiment. Result of the case study shows that fatigue reliability of China Railway High-speed 5 wheel at 60,000 km mileage is 68%.
url https://doi.org/10.1177/1687814020902341
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