针对大型复杂板结构安全评价需要，发展了一种基于压缩感知的金属加筋板结构兰姆波健康监测技术。利用压缩感知技术从稀疏阵列得到的少量检测数据中恢复出加筋板结构中兰姆波的频散特性，并提出了一种将余弦相似度和皮尔森相似度相结合的稀疏阵列兰姆波复合成像方法，以实现加筋板结构中大范围缺陷检测和成像。实验结果表明，压缩感知技术可以恢复出金属加筋板中兰姆波的频率-波数关系，提出的兰姆波复合成像方法能够实现金属加筋板中单缺陷和多缺陷的检测及定位。研究工作为复杂板结构损伤检测提供了一种可行的技术方案。
To meet the needs of safety assessment of large and complex plate structures, a Lamb wave health monitoring technique for stiffened metal plate structures based on compressed sensing is developed. The dispersion characteristics of Lamb waves in stiffened panel structures are recovered from a small amount of testing data obtained from sparse array using compressed sensing technology. To realize large-scale defect detection imaging in stiffened panel structures, a new method of sparse array Lamb wave composite imaging combining cosine similarity with Pearson similarity is proposed. The experimental results show compressed sensing technology can recover the frequency-wavenumber relation of Lamb waves in stiffened plates. And the Lamb wave composite imaging method can detect and locate single and multiple defects in stiffened panels. Research work provides a feasible technical solution for detecting damage of complex plate structure.
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