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 (SHM) with guided ultrasonic waves, in this case, referred to as Lamb waves, is an approach to identify such damage. Numerical simulations form the basis for corresponding investigations, but experimental validation of propagation diagrams over a wide frequency range is hardly found in the literature. In this work the dispersive relation of Lamb waves is experimentally determined for an FML made of carbon fiber-reinforced polymer and steel. For this purpose, a multi-frequency excitation is used to generate Lamb waves 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 good 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 Lamb waves in FML over large frequency ranges with high accuracy and reproducibility.
翻译:轻量级结构对轻量制金属和纤维加固聚合物的有利物质特性具有高度兴趣,金属纤维层板(FML)对轻量结构具有高度兴趣,因为它们结合了金属和纤维加固聚合物的有利物质特性。然而,低速度撞击可能导致复杂的内部损害。因此,由引导超声波进行的结构健康监测(SHM)是确定这种损害的一种方法,在此情况下,称为羔羊波。数字模拟构成相应调查的基础,但在文献中几乎找不到对广频范围的传播图的实验性验证。在这项工作中,羊波的分散关系是实验性确定的,由碳纤维加固聚合物和钢制成的FMLML组成。为此目的,使用多频率引力生成蓝波,通过激光扫描振荡测量测出由此产生的波场。数据是通过非不统一的离心2d Fourier变形和在频率波数域内分析处理的。实验数据与分析框架的数字解算数据十分一致。最后,这项工作提出了一种高度自动化的方法,可以以实验性的方式确定高射频度的磁波的振幅频率。