Fiber metal laminates (FML) are of high interest for lightweight structures as they combine the advantageous material properties of metals and fiber-reinforced polymers. However, low-velocity impacts can lead to complex internal damage. Therefore, structural health monitoring with guided ultrasonic waves (GUW) is a methodology to identify such damage. Numerical simulations form the basis for corresponding investigations, but experimental validation of dispersion diagrams over a wide frequency range is hardly found in the literature. In this work the dispersive relation of GUWs is experimentally determined for an FML made of carbon fiber-reinforced polymer and steel. For this purpose, multi-frequency excitation signals are used to generate GUWs and the resulting wave field is measured via laser scanning vibrometry. The data are processed by means of a non-uniform discrete 2d Fourier transform and analyzed in the frequency-wavenumber domain. The experimental data are in excellent agreement with data from a numerical solution of the analytical framework. In conclusion, this work presents a highly automatable method to experimentally determine dispersion diagrams of GUWs in FML over large frequency ranges with high accuracy.
翻译:轻量级结构对轻量级结构具有高度兴趣,因为它们结合了金属和纤维加固聚合物的有利物质特性,但是,低速度撞击可能导致复杂的内部损害,因此,使用引导超声波进行结构健康监测是确定这种损害的一种方法。数字模拟是相应调查的基础,但在文献中几乎找不到对广频范围的分散图的实验性验证。在这项工作中,GUW的分散关系是实验性决定的,是用碳纤维加固聚合物和钢制成的FML。为此目的,多频率感应信号用于生成GUW,由此产生的波场是通过激光扫描振动测量测量测量的。数据的处理方式是非单离散2d Fourier变换,并在频率波数域中分析。实验数据与分析框架的数字解析数据非常一致。最后,这项工作提出了一种高度自动化的方法,可实验性地确定FML高频程、高精确度的GUW的离差图。