{"title":"基于声发射监测的低周金属疲劳试验早期疲劳损伤演化与裂纹识别","authors":"Zhihai Hu , Keqin Ding , Jianfang Zhou , Guosong Wu","doi":"10.1016/j.ijfatigue.2025.109182","DOIUrl":null,"url":null,"abstract":"<div><div>Acoustic emission (AE) monitoring is employed to investigate the low-cycle fatigue damage behavior of Q235 steel under uniaxial tensile-compressive loading in this study. A strong correlation is revealed between the fatigue damage evolution and acoustic emission characteristic parameters. Here, there is a significant dependence of AE signal characteristics on the loading mode: the tensile unloading and compressive loading stages are the main acoustic emission sources, and the AE energy peaks as strain approaches zero. The peak acoustic emission energy, hysteresis curve area, and maximum axial tensile stress exhibit consistent trends during fatigue, effectively characterizing damage evolution across fatigue stages. Furthermore, microstructural evolution is explored by analyzing specimens subjected to corresponding fatigue cycles. By means of the aforementioned results, an AE energy-based recognition model is successfully developed, enabling accurate detection of millimeter-scale fatigue cracks. This model provides a reliable theoretical foundation for the online AE monitoring of low-cycle fatigue damage in metals.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"201 ","pages":"Article 109182"},"PeriodicalIF":6.8000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Early fatigue damage evolution and crack recognition in low-cycle metal fatigue testing based on acoustic emission monitoring\",\"authors\":\"Zhihai Hu , Keqin Ding , Jianfang Zhou , Guosong Wu\",\"doi\":\"10.1016/j.ijfatigue.2025.109182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Acoustic emission (AE) monitoring is employed to investigate the low-cycle fatigue damage behavior of Q235 steel under uniaxial tensile-compressive loading in this study. A strong correlation is revealed between the fatigue damage evolution and acoustic emission characteristic parameters. Here, there is a significant dependence of AE signal characteristics on the loading mode: the tensile unloading and compressive loading stages are the main acoustic emission sources, and the AE energy peaks as strain approaches zero. The peak acoustic emission energy, hysteresis curve area, and maximum axial tensile stress exhibit consistent trends during fatigue, effectively characterizing damage evolution across fatigue stages. Furthermore, microstructural evolution is explored by analyzing specimens subjected to corresponding fatigue cycles. By means of the aforementioned results, an AE energy-based recognition model is successfully developed, enabling accurate detection of millimeter-scale fatigue cracks. This model provides a reliable theoretical foundation for the online AE monitoring of low-cycle fatigue damage in metals.</div></div>\",\"PeriodicalId\":14112,\"journal\":{\"name\":\"International Journal of Fatigue\",\"volume\":\"201 \",\"pages\":\"Article 109182\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-07-21\",\"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/S0142112325003792\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fatigue","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142112325003792","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}
Early fatigue damage evolution and crack recognition in low-cycle metal fatigue testing based on acoustic emission monitoring
Acoustic emission (AE) monitoring is employed to investigate the low-cycle fatigue damage behavior of Q235 steel under uniaxial tensile-compressive loading in this study. A strong correlation is revealed between the fatigue damage evolution and acoustic emission characteristic parameters. Here, there is a significant dependence of AE signal characteristics on the loading mode: the tensile unloading and compressive loading stages are the main acoustic emission sources, and the AE energy peaks as strain approaches zero. The peak acoustic emission energy, hysteresis curve area, and maximum axial tensile stress exhibit consistent trends during fatigue, effectively characterizing damage evolution across fatigue stages. Furthermore, microstructural evolution is explored by analyzing specimens subjected to corresponding fatigue cycles. By means of the aforementioned results, an AE energy-based recognition model is successfully developed, enabling accurate detection of millimeter-scale fatigue cracks. This model provides a reliable theoretical foundation for the online AE monitoring of low-cycle fatigue damage in metals.
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.