Experimental and simulation study on the microstructural evolution and fatigue life of 316L stainless steel under different periodic overload conditions

IF 5.7 2区 工程技术 Q1 ENGINEERING, MECHANICAL Engineering Failure Analysis Pub Date : 2025-06-01 Epub Date: 2025-03-03 DOI:10.1016/j.engfailanal.2025.109475
Haifeng Zhai , Wei Jiang , Yang Wang , Yanzhao Yang , Haiting Lv
{"title":"Experimental and simulation study on the microstructural evolution and fatigue life of 316L stainless steel under different periodic overload conditions","authors":"Haifeng Zhai ,&nbsp;Wei Jiang ,&nbsp;Yang Wang ,&nbsp;Yanzhao Yang ,&nbsp;Haiting Lv","doi":"10.1016/j.engfailanal.2025.109475","DOIUrl":null,"url":null,"abstract":"<div><div>Accurate fatigue life prediction under periodic overload conditions is crucial for ensuring the reliability of engineering structures. This study investigates the low-cycle fatigue (LCF) behavior of 316L stainless steel under various overload conditions, considering key factors such as strain amplitude, consecutive overload cycles, load sequence, and cycle interval. The results indicate that their influence on fatigue life follows a descending order of significance. Notably, this study innovatively identifies that irregular overload intervals can induce an internal “training effect”, effectively delaying fatigue damage. Furthermore, an improved fatigue life prediction method tailored for overload conditions is proposed and validated through experimental results. These findings provide new insights into fatigue damage mechanisms under periodic overload conditions and offer valuable guidance for refining fatigue life prediction models and optimizing engineering design strategies.</div></div>","PeriodicalId":11677,"journal":{"name":"Engineering Failure Analysis","volume":"174 ","pages":"Article 109475"},"PeriodicalIF":5.7000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Failure Analysis","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S135063072500216X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/3 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Accurate fatigue life prediction under periodic overload conditions is crucial for ensuring the reliability of engineering structures. This study investigates the low-cycle fatigue (LCF) behavior of 316L stainless steel under various overload conditions, considering key factors such as strain amplitude, consecutive overload cycles, load sequence, and cycle interval. The results indicate that their influence on fatigue life follows a descending order of significance. Notably, this study innovatively identifies that irregular overload intervals can induce an internal “training effect”, effectively delaying fatigue damage. Furthermore, an improved fatigue life prediction method tailored for overload conditions is proposed and validated through experimental results. These findings provide new insights into fatigue damage mechanisms under periodic overload conditions and offer valuable guidance for refining fatigue life prediction models and optimizing engineering design strategies.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
不同周期过载条件下316L不锈钢组织演变及疲劳寿命的试验与仿真研究
周期性过载条件下准确的疲劳寿命预测是保证工程结构可靠性的关键。本文研究了316L不锈钢在不同过载条件下的低周疲劳行为,考虑了应变幅值、连续过载循环、加载顺序和循环间隔等关键因素。结果表明,它们对疲劳寿命的影响程度由大到小。值得注意的是,本研究创新地发现,不规则的过载间隔可以诱导内部的“训练效应”,有效地延缓疲劳损伤。在此基础上,提出了一种针对过载工况的改进的疲劳寿命预测方法,并通过实验验证了该方法的有效性。这些发现为研究周期性过载条件下的疲劳损伤机制提供了新的见解,并为完善疲劳寿命预测模型和优化工程设计策略提供了有价值的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Engineering Failure Analysis
Engineering Failure Analysis 工程技术-材料科学:表征与测试
CiteScore
7.70
自引率
20.00%
发文量
956
审稿时长
47 days
期刊介绍: Engineering Failure Analysis publishes research papers describing the analysis of engineering failures and related studies. Papers relating to the structure, properties and behaviour of engineering materials are encouraged, particularly those which also involve the detailed application of materials parameters to problems in engineering structures, components and design. In addition to the area of materials engineering, the interacting fields of mechanical, manufacturing, aeronautical, civil, chemical, corrosion and design engineering are considered relevant. Activity should be directed at analysing engineering failures and carrying out research to help reduce the incidences of failures and to extend the operating horizons of engineering materials. Emphasis is placed on the mechanical properties of materials and their behaviour when influenced by structure, process and environment. Metallic, polymeric, ceramic and natural materials are all included and the application of these materials to real engineering situations should be emphasised. The use of a case-study based approach is also encouraged. Engineering Failure Analysis provides essential reference material and critical feedback into the design process thereby contributing to the prevention of engineering failures in the future. All submissions will be subject to peer review from leading experts in the field.
期刊最新文献
Mechanism and detection methods of pretension loss in foundation anchor bolts of wind turbine under collapse actions HAZ cracking mechanism of 9.5Cr1.5MoCoVNbNB martensitic heat-resistant steel under overlay processes Dynamic failure mechanisms and energy–fractal characteristics of soft–hard interbedded sandstone under impact loading Unveiling plastic deformation mechanism in cavitation incubation period: A multi-scale study on an austenitic stainless steel Low-velocity impact response of carbon-glass hybrid fiber reinforced polymer filament wound pipes
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1