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作 者:杨雷[1] 邓德双 田广 高宗波 包笑飞 武湛君[1] YANG Lei;DENG Deshuang;TIAN Guang;GAO Zongbo;BAO Xiaofei;WU Zhanjun(State Key Laboratory of Structural Analysis for Industrial Equipment,Dalian University of Technology Dalian,116024,China)
机构地区:[1]大连理工大学工业装备结构分析国家重点实验室,大连116024
出 处:《振动.测试与诊断》2024年第1期88-93,199,共7页Journal of Vibration,Measurement & Diagnosis
基 金:国家重点研发计划资助项目(2022YFB3402500,2018YFA0702800)。
摘 要:提出了一种复合材料加筋板结构概率成像冲击定位方法。通过在复合材料加筋板结构表面布置稀疏阵列的压电传感器网络接收冲击响应信号,采用复Morlet小波变换提取冲击响应信号特定中心频率的窄带Lamb波信号并计算模值,根据模的峰值获取Lamb波的到达时刻,构建基于波达时间差的误差函数并计算监测区域内各点为冲击源的概率值,将概率值作为像素值对结构进行概率成像冲击定位。在总体尺寸为700 mm×450 mm的碳纤维增强复合材料加筋板结构上对算法进行了验证。实验结果表明,该算法简单有效,成像分辨率和定位精度高,采用较少的传感器数量依然拥有可观的冲击定位精度。A probabilistic imaging for impact localization method on composite stiffened plate structures is presented in this paper.Impact response signals are received by the sparse array piezoelectric sensor network on the surface of the composite stiffened plate.Complex Morlet wavelet transform is used to extract the narrowband Lamb wave signal of specific center frequency from the impact response signal.The Lamb wave arrival time is obtained according to the maximum modulus value of the narrowband signal.An error function is constructed based on the difference of arrival time and the probability values of each point are calculated as the impact source in the monitoring area.The probability value is used as pixel value for the probabilistic imaging for impact localization of the structure.The proposed algorithm is validated on a 700 mm×450 mm carbon fiber reinforced composite stiffened plate.The experimental results show that the proposed algorithm is simple and effective,the imaging resolution and localization accuracy are high,and the impact localization accuracy is still considerable as using fewer sensors.
关 键 词:压电传感器 小波变换 误差函数 复合材料加筋板 概率成像冲击定位
分 类 号:TH145.9[一般工业技术—材料科学与工程] TB332[机械工程—机械制造及自动化]
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