Surface acoustic wave depth profiling of elastically inhomogeneous materials
Surface acoustic wave depth profiling of elastically inhomogeneous materials
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DOI：
10.1063/1.1290457
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发表时间：
2000-09
影响因子：
3.2
通讯作者：
C. Glorieux;W. Gao;S. Kruger;K. V. D. Rostyne;W. Lauriks;J. Thoen
中科院分区：
文献类型：
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作者：
C. Glorieux;W. Gao;S. Kruger;K. V. D. Rostyne;W. Lauriks;J. Thoen
本文探讨了瑞利波光谱法用于多层材料弹性性质的深度重建的潜力。阐述并比较了由弹性参数分布计算声表面波（SAW）色散谱的两种模型。研究发现，多层介质中瑞利波频散的相关弹性参数是“有效”瑞利波速度，即，瑞利速度计算几乎半无限层。对于逆问题的解决方案，提出了一种神经网络和奇异值分解模型，并在模拟SAW频谱上进行了测试。重建技术应用于重建弹性深度轮廓的喷丸钢样品从激光产生和激光检测SAW数据。
The potential of Rayleigh wave spectroscopy for the in-depth reconstruction of elastic properties of multilayers for materials with a continuous profile of elastic properties is explored. Two models to calculate the surface acoustic wave (SAW) dispersion spectrum from the profile of the elastic parameters are elaborated and compared. It is found that the relevant elastic parameters for Rayleigh wave dispersion in multilayers are the “effective” Rayleigh velocities, i.e., the Rayleigh velocities calculated for virtually semi-infinite layers. For the solution of the inverse problem, a neural network and a singular value decomposition model are proposed and tested on simulated SAW spectra. The reconstruction techniques are applied to reconstruct the elastic depth profile of shot-peened steel samples from laser-generated and laser-detected SAW data.