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31 July 2023 Research on metal corrosion monitoring method based on highly dense strain field reconstruction
Xiyan Zhao, Honghai Wang, Zhengying Li
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Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 1274719 (2023) https://doi.org/10.1117/12.2689339
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China
Abstract
In this paper, we propose a metal corrosion monitoring method based on highly dense strain field reconstruction to quantify the degree of metal corrosion in real-time. Discrete strain changes caused by corrosion can be acquired by dense grating array fiber optic sensor networks and Optical Frequency Domain Reflectometry (OFDR) technology. Then, they are reconstructed as a non-uniform strain field corresponding to corrosion damage using an image size transformation scheme, hence effectively assessing the relationship between metal corrosion and strain field changes. In the non-uniform strain field, the strain at the boundary of the corrosion region appears a sudden downward trend, and the gradient amplitude field of the strain change can reflect this change feature. The corrosion boundary is extracted by the gradient amplitude field and corrosion extent is assessed. The experimental results show that the proposed scheme can achieve a high-precision metal corrosion location with an accuracy rate over 96% on a corroded cantilever metal sheet, proving the feasibility of the metal corrosion monitoring method based on the reconstruction of highly dense strain fields.
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Xiyan Zhao, Honghai Wang, and Zhengying Li "Research on metal corrosion monitoring method based on highly dense strain field reconstruction", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 1274719 (31 July 2023); https://doi.org/10.1117/12.2689339
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KEYWORDS
Corrosion
Optical gratings
Fiber optics sensors
Optical fibers
Optical sensing
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