Dual-frequency acousto-ultrasonic sensing of impact damage in composites for mitigating signal instability. (March 2022)

• Record Type: Journal Article
• Authors: Gong, Chen; Wu, Qi; Zhang, Hanqi; Wang, Rong; Xiong, Ke; Okabe, Yoji; Yu, Fengming
• Is Part Of: Structural health monitoring. Volume 21:Number 2(2022)
• Page Start: 282
• Page End: 297
• Publication Date: 2022-03
• Subjects: Dual frequency -- acousto-ultrasonic detection -- signal instability -- composite -- impact damage; Structural health monitoring -- Periodicals; Structural stability -- Periodicals; Strength of materials -- Periodicals; Nondestructive testing -- Periodicals; Constructions -- Stabilité -- Périodiques; Résistance des matériaux -- Périodiques; Contrôle non destructif -- Périodiques; Electronic journals; 624.17
• DOI: 10.1177/1475921721996625
• Languages: English
• ISSNs: 1475-9217

Abstract

Signal instability due to temperature fluctuations, sensor degradation, and debonding introduces additional amplitude loss in the detected signals during acousto-ultrasonic detection, which may be falsely attributed to defects in a structure. First, we determined that the amplitudes of both high-frequency and low-frequency Lamb waves decrease after propagation through a damaged area. Then, we found that the amplitude ratio of such waves not only exhibits a downward trend but is also immune to fluctuations in the input signals. A qualitative numerical expression was proposed to explain this phenomenon, and preliminary experiments were conducted to demonstrate that the amplitude ratio is an effective parameter for mitigating instability in signal detection. Particularly, the number of impacts on a composite laminate was evaluated with respect to changes in the input signal amplitude. Notably, this method can be further simplified by designing a dual-frequency input signal. After conclusively validating the performance of the novel method in a composite subjected to temperature fluctuations, we conclude that the proposed acousto-ultrasonic detection method is robust in mitigating signal instability, and that it yields reliable information for damage evaluation.