Tam Van Huynh , Santhakumar Sampath , Liu Yang , Hoon Sohn
{"title":"基于表面声波非线性混频的非接触疲劳裂纹检测","authors":"Tam Van Huynh , Santhakumar Sampath , Liu Yang , Hoon Sohn","doi":"10.1016/j.ijfatigue.2025.109215","DOIUrl":null,"url":null,"abstract":"<div><div>The presence of fatigue cracks poses a significant challenge to the early detection of structural defects, prior to the formation of macro-cracks. This study investigates the feasibility of using acoustic nonlinearity parameters for the early evaluation and localization of fatigue damage in aluminum, employing a fully non-contact method for both excitation and sensing. The method is based on the sample excitation of two narrowband surface acoustic waves (SAWs) by two laser beams at two frequencies <span><math><msub><mi>f</mi><mi>a</mi></msub></math></span> and <span><math><mrow><msub><mi>f</mi><mi>b</mi></msub><mfenced><mrow><msub><mi>f</mi><mi>a</mi></msub><mo>></mo><msub><mi>f</mi><mi>b</mi></msub></mrow></mfenced></mrow></math></span>. A laser-based surface acoustic wave (SAW) technique, utilizing micro-lens arrays, was used to generate two distinct, counter-propagating narrowband SAWs with wavelengths of 300 µm and 500 µm, corresponding to frequencies of 9.84 MHz and 5.86 MHz, respectively. The nonlinear interaction of these collinearly propagating counter-directed waves was monitored using a Laser Doppler Vibrometer across various fatigue levels. Subsequently, the interaction of these collinearly counter-propagating SAWs was employed to assess fatigue cracks at various damage levels. The presence of micro-cracks significantly increased material nonlinearity, leading to higher amplitudes of the quadratic components (eg., <span><math><mrow><mn>2</mn><msub><mi>f</mi><mi>a</mi></msub><mo>,</mo><mn>2</mn><msub><mi>f</mi><mi>b</mi></msub><mo>,</mo><msub><mi>f</mi><mi>a</mi></msub><mo>±</mo><msub><mi>f</mi><mi>a</mi></msub></mrow></math></span>) observed in the mixed acoustic signal. The results of this study demonstrate the feasibility of an early fatigue crack detection and achieving high spatial resolution for crack localization.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"202 ","pages":"Article 109215"},"PeriodicalIF":6.8000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Noncontact fatigue crack detection using non-linear frequency mixing of surface acoustic waves\",\"authors\":\"Tam Van Huynh , Santhakumar Sampath , Liu Yang , Hoon Sohn\",\"doi\":\"10.1016/j.ijfatigue.2025.109215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The presence of fatigue cracks poses a significant challenge to the early detection of structural defects, prior to the formation of macro-cracks. This study investigates the feasibility of using acoustic nonlinearity parameters for the early evaluation and localization of fatigue damage in aluminum, employing a fully non-contact method for both excitation and sensing. The method is based on the sample excitation of two narrowband surface acoustic waves (SAWs) by two laser beams at two frequencies <span><math><msub><mi>f</mi><mi>a</mi></msub></math></span> and <span><math><mrow><msub><mi>f</mi><mi>b</mi></msub><mfenced><mrow><msub><mi>f</mi><mi>a</mi></msub><mo>></mo><msub><mi>f</mi><mi>b</mi></msub></mrow></mfenced></mrow></math></span>. A laser-based surface acoustic wave (SAW) technique, utilizing micro-lens arrays, was used to generate two distinct, counter-propagating narrowband SAWs with wavelengths of 300 µm and 500 µm, corresponding to frequencies of 9.84 MHz and 5.86 MHz, respectively. The nonlinear interaction of these collinearly propagating counter-directed waves was monitored using a Laser Doppler Vibrometer across various fatigue levels. Subsequently, the interaction of these collinearly counter-propagating SAWs was employed to assess fatigue cracks at various damage levels. The presence of micro-cracks significantly increased material nonlinearity, leading to higher amplitudes of the quadratic components (eg., <span><math><mrow><mn>2</mn><msub><mi>f</mi><mi>a</mi></msub><mo>,</mo><mn>2</mn><msub><mi>f</mi><mi>b</mi></msub><mo>,</mo><msub><mi>f</mi><mi>a</mi></msub><mo>±</mo><msub><mi>f</mi><mi>a</mi></msub></mrow></math></span>) observed in the mixed acoustic signal. The results of this study demonstrate the feasibility of an early fatigue crack detection and achieving high spatial resolution for crack localization.</div></div>\",\"PeriodicalId\":14112,\"journal\":{\"name\":\"International Journal of Fatigue\",\"volume\":\"202 \",\"pages\":\"Article 109215\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-08-12\",\"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/S0142112325004128\",\"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/S0142112325004128","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}
Noncontact fatigue crack detection using non-linear frequency mixing of surface acoustic waves
The presence of fatigue cracks poses a significant challenge to the early detection of structural defects, prior to the formation of macro-cracks. This study investigates the feasibility of using acoustic nonlinearity parameters for the early evaluation and localization of fatigue damage in aluminum, employing a fully non-contact method for both excitation and sensing. The method is based on the sample excitation of two narrowband surface acoustic waves (SAWs) by two laser beams at two frequencies and . A laser-based surface acoustic wave (SAW) technique, utilizing micro-lens arrays, was used to generate two distinct, counter-propagating narrowband SAWs with wavelengths of 300 µm and 500 µm, corresponding to frequencies of 9.84 MHz and 5.86 MHz, respectively. The nonlinear interaction of these collinearly propagating counter-directed waves was monitored using a Laser Doppler Vibrometer across various fatigue levels. Subsequently, the interaction of these collinearly counter-propagating SAWs was employed to assess fatigue cracks at various damage levels. The presence of micro-cracks significantly increased material nonlinearity, leading to higher amplitudes of the quadratic components (eg., ) observed in the mixed acoustic signal. The results of this study demonstrate the feasibility of an early fatigue crack detection and achieving high spatial resolution for crack localization.
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.