Abstract
In engineering applications, the robustness and effectiveness of damage diagnostic imaging for guided wave-based structural health monitoring could be affected by the complexity of structures. In this study, an elliptical ring distribution probability-based diagnostic imaging algorithm is proposed to mitigate this effect using the estimated wave velocity and damage index. This algorithm improves the ability of damage localization by modifying the defect distribution probability of probability-based diagnostic imaging. The elliptical ring distribution probability of the presence of defect is used for each sensing path in the algorithm. The width of the elliptical ring distribution probability is determined by the range of estimated wave velocity. The amplitude of the elliptical ring distribution probability is determined by the damage index. The damage location is determined by the cross region of different elliptical rings for different sensing paths. The capability of the algorithm is validated by identifying damages at different locations on a complex composite fuselage panel. The results show that the proposed algorithm can identify a single damage accurately and it can identify multiple damages effectively as well.
Highlights
Due to the superior properties of strength, stiffness, weight and corrosion resistance, the composite materials are increasingly used in aircraft structures
To validate the performance of single damage identification using elliptical ring distribution probability-based diagnostic imaging (ERDPDI) algorithm, several single artificial damage cases were introduced on the composite fuselage panel at different locations
The used in ERDPDI algorithm was the correlation analysis-based damage signature, for the th sensing path, which was the same with probability-based diagnostic imaging (PDI) algorithm
Summary
Due to the superior properties of strength, stiffness, weight and corrosion resistance, the composite materials are increasingly used in aircraft structures. The probability-based diagnostic imaging (PDI) enables damage imaging with a good quality in a sparse sensor network, and does not require direct interpretation of the guided wave signal. It has been studied intensively by many researchers [21]. In order to improve the damage localization accuracy of PDI algorithm for complex structures, modifying the defect distribution probability is an important way. An elliptical ring distribution probability-based diagnostic imaging (ERDPDI) algorithm is developed to improve the ability of damage localization for complex structures by modifying the defect distribution probability of PDI algorithm.
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