Su Chenhui, Zhang Wenchao, Liang Lihua, Zhang Yuhang, Sui Qingmei
Shandong Key Laboratory of Intelligent Buildings Technology, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
School of Control Science and Engineering, Shandong University, Jinan 250061, China.
Materials (Basel). 2023 Jun 28;16(13):4658. doi: 10.3390/ma16134658.
In the field of structural health monitoring, Lamb Wave has become one of the most widely used inspection tools due to its advantages of wide detection range and high sensitivity. In this paper, a new damage detection method for honeycomb sandwich structures based on frequency spectrum and Lamb Wave Tomography is proposed. By means of simulation and experiment, a certain number of sensors were placed on the honeycomb sandwich plate to stimulate and receive the signals in both undamaged and damaged cases. By Lamb Wave Tomography, the differences of signals before and after damage were compared, and the damage indexes were calculated. Furthermore, the probability of each sensor path containing damage was analyzed, and the damage image was finally realized. The technology does not require analysis of the complex multimode propagation properties of Lamb Wave, nor does it require understanding and modeling of the properties of materials or structures. In both simulation and experiment, the localization errors of the damage conform to the detection requirements, thus verifying that the method has certain feasibility in damage detection.
在结构健康监测领域，兰姆波因其检测范围广和灵敏度高的优点，已成为应用最为广泛的检测工具之一。本文提出了一种基于频谱和兰姆波层析成像的蜂窝夹层结构损伤检测新方法。通过模拟和实验，在蜂窝夹层板上布置一定数量的传感器，分别在无损和有损情况下激励并接收信号。利用兰姆波层析成像技术，比较损伤前后信号的差异，计算损伤指标。此外，分析了各传感器路径包含损伤的概率，最终实现了损伤成像。该技术既不需要分析兰姆波复杂的多模传播特性，也不需要了解材料或结构的特性并进行建模。在模拟和实验中，损伤的定位误差均符合检测要求，从而验证了该方法在损伤检测中具有一定的可行性。
