Yifei Yu , Wenchun Jang , Bingying Wang , Fuxiao Hu , Hongge Li , Zhiqiang Ding
{"title":"Notch structural stress theory: Part Ⅲ surface roughness effect on fatigue lives","authors":"Yifei Yu , Wenchun Jang , Bingying Wang , Fuxiao Hu , Hongge Li , Zhiqiang Ding","doi":"10.1016/j.ijfatigue.2025.108938","DOIUrl":null,"url":null,"abstract":"<div><div>The dispersion of fatigue data is largely attributed to the effects of surface roughness, which are often overlooked in current structural fatigue assessment methodologies. This study examines the influence of surface roughness on the fatigue life of aluminum alloy notched specimens using our previously established Theory of Notch Structural Stress (TNSS). Results demonstrate a strong correlation between the <em>IR</em> describing the influence from structure factors and <em>p<sub>i</sub></em> related to fatigue life prediction, when the maximum valley depth of the surface profile is employed as an appropriate parameter. Consequently, TNSS enables accurate fatigue life predictions across varying notch geometries and surface roughness conditions.</div><div>While surface roughness is commonly regarded as having minimal impact on fatigue performance in the presence of sharp notches, the definition of notch sharpness remains ambiguous. In respect of this point, TNSS quantifies roughness sensitivity across different notch forms within a unified physical framework, providing a generalized understanding of roughness effects on fatigue lives without disregarding the crack initiation stage.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108938"},"PeriodicalIF":5.7000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fatigue","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142112325001355","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The dispersion of fatigue data is largely attributed to the effects of surface roughness, which are often overlooked in current structural fatigue assessment methodologies. This study examines the influence of surface roughness on the fatigue life of aluminum alloy notched specimens using our previously established Theory of Notch Structural Stress (TNSS). Results demonstrate a strong correlation between the IR describing the influence from structure factors and pi related to fatigue life prediction, when the maximum valley depth of the surface profile is employed as an appropriate parameter. Consequently, TNSS enables accurate fatigue life predictions across varying notch geometries and surface roughness conditions.
While surface roughness is commonly regarded as having minimal impact on fatigue performance in the presence of sharp notches, the definition of notch sharpness remains ambiguous. In respect of this point, TNSS quantifies roughness sensitivity across different notch forms within a unified physical framework, providing a generalized understanding of roughness effects on fatigue lives without disregarding the crack initiation stage.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.