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Eliminating PZT-Induced Harmonics Using Metasurface-Based Filters for Enhanced Nonlinear Guided Wave Structural Health Monitoring
Mechanical Systems and Signal Processing ( IF 7.9 ) Pub Date : 2025-05-27 , DOI: 10.1016/j.ymssp.2025.112885
Mohammed Aslam, I. Boris, Jaesun Lee

Nonlinear guided wave-based Structural Health Monitoring (SHM) systems provide a powerful approach for the accurate detection and localization of structural damage by using harmonic generation as a key indicator of anomalies. However, distinguishing structural harmonics from those induced by instrumentation, particularly piezoelectric (PZT) actuators, remains a significant challenge. Over time, PZT actuators can develop debonding, leading to contact acoustic nonlinearity (CAN) effects and the generation of spurious harmonics that obscure damage signatures. To address this limitation, a novel metallic ring-shaped metasurface-based filter is proposed, specifically designed to suppress both instrument-induced and PZT-related harmonics. The metafilter’s bandgap characteristics were assessed through dispersion curve analysis, while its ability to isolate damage-sensitive harmonics was evaluated using time-domain finite element simulations. Experimental validations were performed on an aluminium plate integrated with a defective PZT patch and a 3D-printed metafilter. Additionally, defect localization accuracy was enhanced through a kernel-based weighting of time-difference-of-arrival (TDOA) residuals across multiple sensor sets, enabling precise spatial mapping. The results demonstrate the efficacy of the proposed metafilter in eliminating harmonics caused by the CAN effect while preserving the integrity of damage-sensitive nonlinear wave components. This study highlights the robustness of the metafilter in improving the precision and reliability of nonlinear guided wave SHM systems, offering significant potential for practical applications across various industries.

中文翻译:

使用基于超表面的滤波器消除 PZT 感应的谐波,以增强非线性导波结构健康监测

基于非线性导波的结构健康监测 (SHM) 系统通过使用谐波产生作为异常的关键指标,为准确检测和定位结构损伤提供了一种强大的方法。然而,区分结构谐波与仪器,特别是压电 (PZT) 致动器引起的谐波仍然是一个重大挑战。随着时间的推移,PZT 促动器会发生脱键合,导致接触声学非线性 (CAN) 效应和杂散谐波的产生,从而掩盖损坏特征。为了解决这一限制,提出了一种新型的基于金属环形超表面的滤波器,专门用于抑制仪器感应和 PZT 相关的谐波。通过色散曲线分析评估了 metafilter 的带隙特性,而其隔离损伤敏感谐波的能力则使用时域有限元仿真进行评估。在集成了有缺陷的 PZT 贴片和 3D 打印 metafilter 的铝板上进行了实验验证。此外,通过对多个传感器集之间的到达时间差 (TDOA) 残差进行基于内核的加权,提高了缺陷定位的准确性,从而实现了精确的空间映射。结果表明,所提出的元滤波器在消除 CAN 效应引起的谐波同时保持损伤敏感非线性波分量的完整性方面的有效性。本研究强调了 metafilter 在提高非线性导波 SHM 系统的精度和可靠性方面的稳健性,为各行各业的实际应用提供了巨大的潜力。
更新日期:2025-05-27
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