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Baseline-free damage imaging for metal and composite plate-type structures based on similar paths
Author(s) -
Hu Sun,
Aijia Zhang,
Yishou Wang,
Xinlin Qing
Publication year - 2019
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/1550147719843054
Subject(s) - transmitter , lamb waves , structural health monitoring , baseline (sea) , computer science , acoustics , scattering , wave packet , signal (programming language) , path (computing) , feature (linguistics) , network packet , materials science , optics , telecommunications , surface wave , physics , composite material , geology , programming language , linguistics , computer network , channel (broadcasting) , philosophy , quantum mechanics , oceanography
Lamb wave–based structural health monitoring technology has attracted great interest and wide attention. Most of the Lamb wave–based structural health monitoring algorithms utilize scattering signals subtracted between baseline and current signals, which are recorded before and after damage and are easily influenced by environmental changes. In this article, a baseline-free method based on similar path is proposed to identify the damage in metal and composite structures. Due to Lamb wave scattering on damage, the first wave packet of signal for the transmitter–receiver path passing through or near the damage will be weakened. Based on sensor spacing (and direction for composites), all transmitter–receiver paths of transducer array can be classified as some groups, each having similar paths. The first wave packet energies of the paths in the same group are compared with each other to calculate damage indices, which are used to image the damage. Simulations were carried out to identify single- and multi-damages in the metal and composite plates. In addition, an experiment was also conducted to verify the algorithm. Both simulation and experimental results demonstrate the feasibility and effectiveness of similar path-based damage identification method.

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