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    一种基于均匀稀疏采样的Lamb波场重构方法

    A Lamb Wavefield Recovery Method Based on Uniform Sparse Sampling

    • 摘要: 为了提高研究区域内Lamb波场的获取效率,提出了一种均匀稀疏采样策略,结合压缩感知理论,通过扫描式激光多普勒测振仪拾取的少量测点信号重构出待测波场,并对含人工损伤的铝板进行了试验验证。结果表明:提出的方法可在空间上将测点数减少至传统Nyquist采样点数的90%以上,并得到与原始波场相干性较高的重构波场,同时实现对结构损伤的定位和成像;研究结果可极大地提高基于波场分析的损伤检测技术的执行效率。

       

      Abstract: A uniform sparse sampling strategy is proposed to improve the acquisition efficiency of the Lamb wavefield of the ROI. The proposed method can recover the guided wavefield of the ROI from a small number of measured signals picked up by the scanning laser Doppler vibrometer using the compressive sensing theory. The experiment is carried out in an aluminum plate with an artificial damage to verify the recovered quality of this method. The experimental results show that the proposed method can reduce the number of measuring points by more than 90% of the traditional Nyquist sampling points in space, and obtain the recovered wavefield with a high coherence coefficient with the original wavefield, and the same time it can realize the positioning and imaging of the structural damage. The research results can greatly improve the efficiency of the damage detection technologies based on the Lamb wavefield analysis.

       

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