Experimental and numerical investigation of the evolution of residual stresses under cyclic mechanical loading

IF 2.5 3区 工程技术 Q2 MECHANICS Archive of Applied Mechanics Pub Date : 2025-04-17 DOI:10.1007/s00419-025-02803-w
Tom Schneider, Jens Gibmeier, Markus Kästner
{"title":"Experimental and numerical investigation of the evolution of residual stresses under cyclic mechanical loading","authors":"Tom Schneider,&nbsp;Jens Gibmeier,&nbsp;Markus Kästner","doi":"10.1007/s00419-025-02803-w","DOIUrl":null,"url":null,"abstract":"<div><p>Forming-induced residual stresses highly influence the performance of metallic engineering components. They offer great potential particularly for increasing fatigue life by targeted introduction of compressive residual stresses in failure-critical areas. However, this only holds true if one can understand and predict the change of residual stresses under cyclic mechanical loading and thus ensure their stability. In the present paper, we introduce a combined experimental and numerical approach for the investigation of residual stress evolution under cyclic mechanical loading. Therefore, a suitable experiment is conceptualized and realized using a 4-point bending setup. The initial plastic deformation of each specimen is followed by a certain number of load cycles and experimental residual stress analyses. From this, a course of residual stresses over the fatigue life is constructed. In order to simulate the determined change in residual stresses, a cyclic plasticity model is proposed that takes into account the nonlinear kinematics due to the large deflection of the beam. A parametrization algorithm is presented, which employs a global optimization strategy using uniaxial stress–strain data from various parametrization experiments. The final comparison of experimental and numerical results shows a qualitative agreement. Their stabilization level after a few thousand load cycles can be predicted.</p></div>","PeriodicalId":477,"journal":{"name":"Archive of Applied Mechanics","volume":"95 5","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00419-025-02803-w.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archive of Applied Mechanics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s00419-025-02803-w","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0

Abstract

Forming-induced residual stresses highly influence the performance of metallic engineering components. They offer great potential particularly for increasing fatigue life by targeted introduction of compressive residual stresses in failure-critical areas. However, this only holds true if one can understand and predict the change of residual stresses under cyclic mechanical loading and thus ensure their stability. In the present paper, we introduce a combined experimental and numerical approach for the investigation of residual stress evolution under cyclic mechanical loading. Therefore, a suitable experiment is conceptualized and realized using a 4-point bending setup. The initial plastic deformation of each specimen is followed by a certain number of load cycles and experimental residual stress analyses. From this, a course of residual stresses over the fatigue life is constructed. In order to simulate the determined change in residual stresses, a cyclic plasticity model is proposed that takes into account the nonlinear kinematics due to the large deflection of the beam. A parametrization algorithm is presented, which employs a global optimization strategy using uniaxial stress–strain data from various parametrization experiments. The final comparison of experimental and numerical results shows a qualitative agreement. Their stabilization level after a few thousand load cycles can be predicted.

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
循环机械载荷下残余应力演化的实验与数值研究
成型引起的残余应力对金属工程部件的性能影响很大。特别是通过在失效关键部位有针对性地引入压缩残余应力,它们为提高疲劳寿命提供了巨大的潜力。然而,只有了解并预测残余应力在循环机械加载下的变化,从而确保其稳定性,才能实现这一目标。在本文中,我们介绍了一种实验和数值相结合的方法,用于研究循环机械加载下的残余应力演变。因此,我们利用四点弯曲装置构思并实现了一个合适的实验。每个试样的初始塑性变形都要经过一定次数的载荷循环和残余应力实验分析。由此构建出疲劳寿命期间的残余应力曲线。为了模拟残余应力的确定变化,提出了一个循环塑性模型,该模型考虑到了由于梁的大挠度而产生的非线性运动学。此外,还介绍了一种参数化算法,该算法采用了全局优化策略,使用了来自各种参数化实验的单轴应力-应变数据。实验结果和数值结果的最终对比显示两者在质量上是一致的。可以预测它们在几千次载荷循环后的稳定水平。
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
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
期刊最新文献
Characteristic analysis of impedance controlled Rayleigh-type waves in incompressible orthotropic stratum overlying exponentially graded Voigt viscoelastic substrate Hydrodynamic analysis on diffractions of linear water waves by a π-shaped surface-piecing breakwater over uneven bottoms The stress analysis in the adhesively bonded joint by using meshless method Extended modal superposition for forced damped vibrations of multi-cracked shear deformable beams Thermally induced fracture analysis of porous FG structures containing an adiabatic center crack using XIGA
×
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