Sparse Array Ultrasonic Lamb Wave TDTE Imaging Method

Yao-Cheng,; Zhu, Wen-Fa; Chai, Xiaodong; Sun, Liu-Jia; Wei-Lv,; Fan, Guopeng; Zheng, Shibao; Hui-Zhang,

doi:10.1109/jsen.2021.3100615

Cited by 8 publications

(1 citation statement)

References 39 publications

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“…Structural health monitoring technology based on Lamb Wave is considered as one of the most promising detection methods due to its long distance propagation ability and high sensitivity to non-uniformity near the propagation path [ 25 , 26 , 27 ]. This technique identifies and locates structural damage by analyzing Lamb Wave response signals with information about structural defects [ 28 , 29 ]. The signal propagated in the plate is generated by stimulating the sensor and interacted with the damage, and other sensors are responsible for receiving the response signal.…”

Section: Lamb Wave Damage Mechanismmentioning

confidence: 99%

Damage Imaging Identification of Honeycomb Sandwich Structures Based on Lamb Waves

Zhang

et al. 2023

Materials

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In the field of structural health monitoring, Lamb Wave has become one of the most widely used inspection tools due to its advantages of wide detection range and high sensitivity. In this paper, a new damage detection method for honeycomb sandwich structures based on frequency spectrum and Lamb Wave Tomography is proposed. By means of simulation and experiment, a certain number of sensors were placed on the honeycomb sandwich plate to stimulate and receive the signals in both undamaged and damaged cases. By Lamb Wave Tomography, the differences of signals before and after damage were compared, and the damage indexes were calculated. Furthermore, the probability of each sensor path containing damage was analyzed, and the damage image was finally realized. The technology does not require analysis of the complex multimode propagation properties of Lamb Wave, nor does it require understanding and modeling of the properties of materials or structures. In both simulation and experiment, the localization errors of the damage conform to the detection requirements, thus verifying that the method has certain feasibility in damage detection.

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