Crack identification in aluminium plates using Lamb wave signals of a PZT sensor network
Crack identification in aluminium plates using Lamb wave signals of a PZT sensor network
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DOI：
10.1088/0964-1726/15/3/021
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发表时间：
2006-06-01
影响因子：
4.1
通讯作者：
Su, Zhongqing
中科院分区：
文献类型：
--
作者：
Lu, Ye;Ye, Lin;Su, Zhongqing
采用集成的有源压电传感器网络，建立了基于兰姆波的铝板裂纹识别技术。实验结果表明，兰姆波在铝板类结构中的传播由于波频散、材料衰减、边界反射等因素而相当复杂。为了消除各种干扰，采用小波变换技术对采集到的兰姆波信号进行了净化，并从波能谱中提取了兰姆波信号的特征。在此基础上，建立了一个相关函数，并采用三角剖分法和非线性最小二乘优化算法对裂纹位置进行了识别。这种方法在定位裂纹长度为5和20 mm的铝板中的裂纹位置时提供了令人满意的结果。
With an integrated active piezoelectric sensor network, a Lamb wave-based crack identification technique for aluminium plates was developed. Experimental results showed that the propagation of Lamb waves in aluminium plate-like structures is considerably complicated due to wave dispersion, material attenuation, boundary reflection, etc. In order to eliminate the diverse interference, a wavelet transform technique was applied to purify the acquired Lamb wave signals, and the characteristics of Lamb wave signals were extracted from the wave energy spectrum. A correlation function was further established, which helped identify the crack position based on a triangulation approach with the aid of a nonlinear least-squares optimization algorithm. Such an approach provides satisfactory results in locating the crack position in aluminium plates with cracks of 5 and 20 mm in length.