School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China.
Sensors (Basel). 2021 Oct 19;21(20):6941. doi: 10.3390/s21206941.
Traditional tone burst excitation cannot attain a high output resolution, due to the time duration. The received signal is much longer than that of excitation during the propagation, which can increase the difficulty of signal processing, and reduce the resolution. Therefore, it is of significant interest to develop a general methodology for crack quantification through the optimal design of the excitation waveform and signal-processing methods. This paper presents a new crack size quantification method based on high-resolution Lamb waves. The linear chirp (L-Chirp) signal and Golay complementary code (GCC) signal are used as Lamb wave excitation signals. After dispersion removal, these excitation waveforms, based on pulse compression, can effectively improve the inspection resolution in plate-like structures. A series of simulations of both healthy plates and plates with different crack sizes are performed by Abaqus CAE, using different excitation waveforms. The first wave package of the S mode after pulse compression is chosen to extract the damage features. A multivariate regression model is proposed to correlate the damage features to the crack size. The effectiveness of the proposed crack size quantification method is verified by a comparison with tone burst excitation, and the accuracy of the crack size quantification method is verified by validation experiments.
传统的 tone burst 激励由于持续时间的原因,无法达到高的输出分辨率。在传播过程中,接收信号比激励信号长得多,这增加了信号处理的难度,降低了分辨率。因此,开发一种通过激励波形和信号处理方法的最优设计来定量裂纹的通用方法具有重要意义。本文提出了一种基于高分辨率 Lamb 波的新的裂纹尺寸定量方法。线性啁啾(L-Chirp)信号和 Golay 互补码(GCC)信号被用作 Lamb 波激励信号。经过去弥散处理后,这些基于脉冲压缩的激励波形可以有效地提高板状结构的检测分辨率。使用不同的激励波形,通过 Abaqus CAE 对健康板和不同裂纹尺寸的板进行了一系列模拟。选择 S 模式的第一波包进行脉冲压缩,以提取损伤特征。提出了一种多元回归模型,将损伤特征与裂纹尺寸相关联。通过与 tone burst 激励的比较验证了所提出的裂纹尺寸定量方法的有效性,并通过验证实验验证了裂纹尺寸定量方法的准确性。