详细信息

Acoustic black hole meta-filter for improved nonlinear ultrasonic detection of fatigue damage  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Acoustic black hole meta-filter for improved nonlinear ultrasonic detection of fatigue damage

作者:Song, Ailing[1];Liu, Zhijun[1];Peng, Siyuan[1];Liu, Lishuai[1];Xiang, Yanxun[1]

机构:[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai Key Lab Intelligent Sensing & Detect, Shanghai 200237, Peoples R China

年份:2025

卷号:34

期号:12

外文期刊名:SMART MATERIALS AND STRUCTURES

收录:;WOS:【SCI-EXPANDED(收录号:WOS:001642616300001)】;

基金:This work was supported by the National Natural Science Foundation of China (Grant Nos. 12374435, 12327807, 52321002), the Basic Research Program of Shanghai Science and Technology Innovation Action Plan (No. 24TS1412200), and Shanghai Gaofeng Project for University Academic Program Development.

语种:英文

外文关键词:Lamb waves; ultrasonic nonlinearity; fatigue crack; meta-filter

摘要:The non-damage-related second harmonic generated by the detection equipment in nonlinear ultrasonic detection may interfere with the damage-related second harmonic, making it difficult to identify the fatigue cracks and further hindering its practical application in engineering. In this paper, we proposed a simple acoustic black hole meta-filter to improve the high-frequency nonlinear ultrasonic detection by selectively manipulating the propagation characteristics of different frequency Lamb waves. The simulated and experimental results indicate that the proposed meta-filter can filter out the non-damage-related second harmonic while preserve the fundamental wave. The amplitudes of second harmonic monotonically increase with the increase of fatigue crack length and significantly reduce after introducing the acoustic meta-filter. The nonlinear ultrasonic tests confirmed the normalized acoustic nonlinearity parameter increased by 203% (with meta-filter) and 45% (without meta-filter) when the fatigue crack length increases from 0 mm to 6.6 mm, which means the variation amount increased by 4.5 times by introducing the meta-filter. Our research work paves a practical way to improve the damage sensitivity of nonlinear ultrasonic Lamb wave detection and promote the engineering application of metamaterials in structural health monitoring and nondestructive evaluation.

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