In this paper, we introduce a novel dominant wavenumber filtering technique for detecting structural damage in steady-state ultrasonic wavefield analysis. Recent studies have suggested the use of full steady-state wavefields instead of guided wavefields for structural imaging in damage detection. These approaches have demonstrated their effectiveness in identifying various types of structural damage by estimating the wavenumbers from steady-state wavefields. However, challenges remain, including the selection of optimal wavenumber estimation parameters for different applications and improving the detection performance by extracting as many damage components as possible across multiple ultrasonic wave modes. To address these challenges, we propose applying multi-frequency band-stop filters to selectively isolate and eliminate primary ultrasonic wave modes from the data. This targeted filtering identifies only the wavenumber components altered by damage, enabling accurate and focused damage imaging. Accordingly, by efficiently removing non-damage-related wavenumber components and leveraging the full spectrum of variations caused by various defects, our approach enhances clarity in damage imaging. Experimental validation on both composite and aluminum plates confirm that the method can detect various types of damage accurately, including corrosion, fatigue cracks, and interlaminar delamination in composite materials. Moreover, the method surpasses the performance of conventional methods and provides a robust solution for advanced structural damage detection in various engineering applications.

中文翻译：

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稳态超声波场成像中主波数滤波增强损伤检测


在本文中，我们介绍了一种新颖的主波数滤波技术，用于检测稳态超声波场分析中的结构损伤。最近的研究建议在损伤检测中使用全稳态波场代替引导波场进行结构成像。这些方法已经证明了它们通过估计稳态波场的波数来识别各种类型的结构损伤的有效性。然而，挑战仍然存在，包括针对不同应用选择最佳波数估计参数，以及通过在多种超声波模式下提取尽可能多的损伤成分来提高检测性能。为了应对这些挑战，我们建议应用多频带带阻滤波器来选择性地隔离和消除数据中的主要超声波模式。这种有针对性的过滤仅识别因损伤而改变的波数分量，从而实现准确且集中的损伤成像。因此，通过有效地去除与损伤无关的波数分量并利用各种缺陷引起的全谱变化，我们的方法提高了损伤成像的清晰度。对复合材料和铝板的实验验证证实，该方法可以准确检测复合材料中的各种类型的损伤，包括腐蚀、疲劳裂纹和层间分层。此外，该方法超越了传统方法的性能，为各种工程应用中的高级结构损伤检测提供了强大的解决方案。