Acoustic Emission-based Tensile-tensile Fatigue Damage Monitoring and Quantification of Multidirectional Pre-perforated Composite Laminates

IF 1.3 4区 材料科学 Q4 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
Yinghonglin Liu, Duo Feng, Wei Li, Zhijun Yang, Haifeng Xu
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引用次数: 0

Abstract

Abstract—Glass fiber-reinforced composites (GFRP) are prone to undetectable damage, posing challenges to their safe application in aerospace, transportation, and other fields. This study integrated acoustic emission (AE), microscopic visualization, and digital image correlation (DIC) techniques to monitor and quantify damage in multidirectional pre-perforated GFRP laminates under tensile-tensile fatigue loading. It analyzed the intrinsic correlations between surface strain evolution, AE characteristic parameters (amplitude, energy, duration, etc.), and damage modes (matrix cracking, delamination, fiber breakage) of laminates with different fiber orientations, and established the AE-based damage variable DAE. Its validity was verified using stress-strain curves and damage micromorphology. Results showed that fiber orientation significantly affected the mechanical response and damage behavior of laminates. AE parameters and surface strain effectively characterized damage mechanisms, with obvious differences in strain distribution, stress-strain curves, and AE signals among laminates with different orientations. The engineering error of DAE for fatigue damage characterization was within 20%, confirming the feasibility of AE technology in quantifying composite fatigue damage and providing key support for composite structural damage monitoring and life prediction.

基于声发射的多向预穿孔复合材料层合板拉伸疲劳损伤监测与量化
摘要/ abstract摘要:玻璃纤维增强复合材料(GFRP)易发生不可检测的损伤,对其在航空航天、交通运输等领域的安全应用提出了挑战。本研究综合了声发射(AE)、微观可视化和数字图像相关(DIC)技术来监测和量化多向预穿孔玻璃钢层合板在拉伸-拉伸疲劳载荷下的损伤。分析了不同纤维取向层合板表面应变演化、声发射特征参数(振幅、能量、持续时间等)与损伤模式(基体开裂、分层、纤维断裂)之间的内在关联,建立了基于声发射的损伤变量DAE。通过应力-应变曲线和损伤微观形貌验证了该方法的有效性。结果表明,纤维取向对复合材料的力学响应和损伤行为有显著影响。声发射参数和表面应变能有效表征层合板的损伤机制,不同取向层合板的应变分布、应力-应变曲线和声发射信号存在明显差异。疲劳损伤表征DAE的工程误差在20%以内,证实了声发射技术量化复合材料疲劳损伤的可行性,为复合材料结构损伤监测和寿命预测提供了关键支撑。
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来源期刊
Russian Journal of Nondestructive Testing
Russian Journal of Nondestructive Testing 工程技术-材料科学:表征与测试
CiteScore
1.60
自引率
44.40%
发文量
59
审稿时长
6-12 weeks
期刊介绍: Russian Journal of Nondestructive Testing, a translation of Defectoskopiya, is a publication of the Russian Academy of Sciences. This publication offers current Russian research on the theory and technology of nondestructive testing of materials and components. It describes laboratory and industrial investigations of devices and instrumentation and provides reviews of new equipment developed for series manufacture. Articles cover all physical methods of nondestructive testing, including magnetic and electrical; ultrasonic; X-ray and Y-ray; capillary; liquid (color luminescence), and radio (for materials of low conductivity).
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