{"title":"Application of thermoelasticity in the frequency-domain multiaxial vibration-fatigue criterion","authors":"Jaša Šonc, Klemen Zaletelj, Janko Slavič","doi":"10.1016/j.ymssp.2024.112002","DOIUrl":null,"url":null,"abstract":"<div><div>In vibration fatigue, high-spatial-density experimental damage identification is hard to conduct. Fatigue damage is typically localized (in time and space) and loads can change direction with time. Thermoelasticity studies the interaction between temperature changes and elastic deformations in materials: minute changes in temperature can be related to the sum of the normal stresses, providing information about the multiaxial stress state. This research discusses the application of thermoelasticity in multiaxial criterion resulting in the equivalent uniaxial load. In this research, the thermoelasticity-based equivalent uniaxial load is related to the established theory on vibration-fatigue damage estimation in the spectral domain. The introduced thermoelasticity-based criterion is compared to the Equivalent von Mises stress criterion. Building on theoretical, numerical, and experimental research, this work examines the limitations of thermoelasticity-based criterion. Where the surface shear stresses are significantly smaller than the normal stresses, the numerical and experimental research shows promising results.</div><div>Based on the introduced thermoelastic multiaxial criterion and with the recent progress in thermal imaging and signal processing, new possibilities for a close-to-real-time full-field fatigue-damage estimation open up.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 112002"},"PeriodicalIF":7.9000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanical Systems and Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888327024009002","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
In vibration fatigue, high-spatial-density experimental damage identification is hard to conduct. Fatigue damage is typically localized (in time and space) and loads can change direction with time. Thermoelasticity studies the interaction between temperature changes and elastic deformations in materials: minute changes in temperature can be related to the sum of the normal stresses, providing information about the multiaxial stress state. This research discusses the application of thermoelasticity in multiaxial criterion resulting in the equivalent uniaxial load. In this research, the thermoelasticity-based equivalent uniaxial load is related to the established theory on vibration-fatigue damage estimation in the spectral domain. The introduced thermoelasticity-based criterion is compared to the Equivalent von Mises stress criterion. Building on theoretical, numerical, and experimental research, this work examines the limitations of thermoelasticity-based criterion. Where the surface shear stresses are significantly smaller than the normal stresses, the numerical and experimental research shows promising results.
Based on the introduced thermoelastic multiaxial criterion and with the recent progress in thermal imaging and signal processing, new possibilities for a close-to-real-time full-field fatigue-damage estimation open up.
在振动疲劳中,很难进行高空间密度的试验性损伤鉴定。疲劳损伤通常是局部的(在时间和空间上),载荷会随时间改变方向。热弹性研究温度变化与材料弹性变形之间的相互作用:温度的微小变化可与法向应力之和相关联,从而提供有关多轴应力状态的信息。本研究讨论了热弹性在导致等效单轴载荷的多轴准则中的应用。在这项研究中,基于热弹性的等效单轴载荷与频谱域振动疲劳损伤估计的既定理论相关。将引入的基于热弹性的准则与等效 von Mises 应力准则进行了比较。在理论、数值和实验研究的基础上,本研究探讨了基于热弹性准则的局限性。在表面剪应力明显小于法向应力的情况下,数值和实验研究显示出了良好的结果。基于所引入的热弹性多轴准则,并结合热成像和信号处理领域的最新进展,为近实时全场疲劳损伤估算提供了新的可能性。
期刊介绍:
Journal Name: Mechanical Systems and Signal Processing (MSSP)
Interdisciplinary Focus:
Mechanical, Aerospace, and Civil Engineering
Purpose:Reporting scientific advancements of the highest quality
Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems