School of Transport, Aerospace and Manufacturing, Cranfield University, Bedford MK43 0AL, UK.
Sensors (Basel). 2021 Jan 26;21(3):811. doi: 10.3390/s21030811.
Damage is an inevitable occurrence in metallic structures and when unchecked could result in a catastrophic breakdown of structural assets. Non-destructive evaluation (NDE) is adopted in industries for assessment and health inspection of structural assets. Prominent among the NDE techniques is guided wave ultrasonic testing (GWUT). This method is cost-effective and possesses an enormous capability for long-range inspection of corroded structures, detection of sundries of crack and other metallic damage structures at low frequency and energy attenuation. However, the parametric features of the GWUT are affected by structural and environmental operating conditions and result in masking damage signal. Most studies focused on identifying individual damage under varying conditions while combined damage phenomena can coexist in structure and hasten its deterioration. Hence, it is an impending task to study the effect of combined damage on a structure under varying conditions and correlate it with GWUT parametric features. In this respect, this work reviewed the literature on UGWs, damage inspection, severity, temperature influence on the guided wave and parametric characteristics of the inspecting wave. The review is limited to the piezoelectric transduction unit. It was keenly observed that no significant work had been done to correlate the parametric feature of GWUT with combined damage effect under varying conditions. It is therefore proposed to investigate this impending task.
损伤是金属结构中不可避免的现象，如果不加以控制，可能会导致结构资产的灾难性故障。无损评估（NDE）在工业中被用于评估和检查结构资产的健康状况。在 NDE 技术中，导波超声检测（GWUT）是一种突出的方法。这种方法具有成本效益，并且具有对腐蚀结构进行远程检查、检测低频和能量衰减时的裂缝和其他金属损伤结构的杂物的巨大能力。然而，GWUT 的参数特征受到结构和环境运行条件的影响，导致损伤信号被掩盖。大多数研究都集中在识别不同条件下的单个损伤，而组合损伤现象可能同时存在于结构中并加速其恶化。因此，研究在不同条件下组合损伤对结构的影响，并将其与 GWUT 参数特征相关联是一项紧迫的任务。在这方面，这项工作回顾了关于 UGW、损伤检测、严重程度、温度对导波的影响以及检测波的参数特征的文献。该综述仅限于压电换能器单元。人们敏锐地观察到，在不同条件下，GWUT 的参数特征与组合损伤效应的相关性尚未得到充分研究。因此，建议研究这项紧迫的任务。
