Identification of the Orthotropic Elastic Tensor of Composites Using Full Field Lamb Wave Energy Velocities and Dispersion Curves

A. H. Orta, Shain Azadi, S. Hedayatrasa, N. Roozen, W. Van Paepegem, M. Kersemans, K. Van Den Abeele
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引用次数: 1

Abstract

A multi-objective inversion procedure is proposed based on 3D Lamb wave dispersion curves and energy velocity matching to identify the elastic stiffness tensor of orthotropic composite plates. To validate the procedure, finite element model simulations and experimental measurements have been conducted on an aluminum and a composite plate by using piezoelectric actuator broadband signals. Experimentally, the in-plane and out-of-plane velocity components on the surface of these plates were measured using a 3D Infrared Scanning Laser Doppler Vibrometer. By exploiting Fourier Transform, the measured space-time domain data is converted into the frequency-wavenumber domain, from which dispersion curves are extracted. To identify the energy velocity, Short Time Fourier Transform and linear Radon transformation have been applied. Then, image processing is used both for dispersion and energy velocity curves to match the amplitude of the in-plane and out-of-plane velocities on the surface of the plate. The Semi Analytical Finite Element method (SAFE) was selected as the forward model to be embedded in an inversion algorithm due to its accuracy and robustness. Using a multi-objective genetic algorithm, the elastic tensor is calculated by simultaneously minimizing the error between (i) the measured and calculated dispersion curves on one hand, and (ii) the measured and calculated energy velocity slowness curves on the other hand for every in and out of plane velocity measurement. The mean values of the pareto front are selected as optimum parameters. The reconstructed elastic stiffness properties show good agreement with less than 6% average deviation.
利用兰姆波能量速度和色散曲线识别复合材料的正交各向异性弹性张量
提出了一种基于三维Lamb波频散曲线和能量速度匹配的多目标反演方法来识别正交各向异性复合材料板的弹性刚度张量。为了验证该方法的有效性,利用压电作动器宽带信号对铝板和复合材料板进行了有限元模型仿真和实验测量。实验上,利用三维红外扫描激光多普勒测振仪测量了这些板表面的面内和面外速度分量。利用傅里叶变换,将测量的空时域数据转换为频波数域,提取频波数域色散曲线。为了识别能量速度,采用了短时傅里叶变换和线性Radon变换。然后,对色散曲线和能量速度曲线进行图像处理,以匹配板表面的面内和面外速度的幅值。考虑到半解析有限元法(SAFE)的精度和鲁棒性,选择其作为正演模型嵌入到反演算法中。采用多目标遗传算法,对每一次平面内外速度测量同时最小化(1)测量值与计算值色散曲线和(2)测量值与计算值能量速度慢度曲线之间的误差来计算弹性张量。选取pareto前沿均值作为最优参数。重建的弹性刚度特性吻合较好,平均偏差小于6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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