利用声发射检测技术研究玻璃纤维增强环氧树脂复合材料的损伤特性,在此过程中,采用哨兵函数来表征该材料的损伤程度,并通过S变换和模糊C均值（FCM）聚类来分析声发射信号,从而获得材料的损伤特征。三点弯曲实验结束后对试件断口进行扫描电子显微镜（SEM）拍照来验证,可得：通过对SEM照片的分析得到基体开裂、纤维脱粘、分层破坏、纤维断裂4种损伤模式;对整个声发射事件进行哨兵函数分析,观察到试件在弯曲过程中哨兵函数曲线呈明显下降趋势;对依据哨兵函数划分的不同阶段的信号进行VMD降噪处理,然后采用S变换进行时频分析得到不同损伤的特征频率,最后采用FCM聚类进行验证。结果表明：哨兵函数值的突变可作为材料断裂的预警信号,材料损伤类型的识别可依据S变换的频率分布结果进行确定。
Abstract
This paper studies the damage characteristics of fiberglass reinforced epory resin composite using acoustic emission detection technology. In this process, the sentinel function is used to characterize the degree of damage to the material, and the acoustic emission signals are analyzed through the S-transform and fuzzy C-means （FCM） clustering to obtain the damage characteristics of the material. After the three-point bending experiment, SEM （Scanning Electron Microscope） photos of the fracture surface of the test piece are taken for verification, and the following conclusions are obtained： Analysis of SEM photos reveals four damage modes： matrix cracking, fiber debonding, delamination damage, and fiber breakage; Sentinel function analysis of the entire acoustic emission event observed that the sentinel function curve showed a clear downward trend during the bending process of the test piece; The signals at different stages divided according to the sentinel function are denoised by VMD, and then the S transform is used for time-frequency analysis to obtain the characteristic frequencies of different damages, and finally verified by the FCM clustering. The results show that the sudden change of the sentinel function value can serve as an early warning signal for material fracture, and the identification of the type of material damage can be determined according to the frequency distribution results of the S transform.
关键词
风力机叶片 /
复合材料 /
声发射 /
损伤特性 /
哨兵函数 /
S变换
Key words
wind turbine blades /
composite materials /
acoustic emissions /
damage characteristics /
sentry function /
S transform
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基金
湖南省自然科学基金（2021JJ30717）
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