Quantitative evaluation of subsurface cracks with laser-generated surface wave based on back propagation neural network-Reference-Cited by-同舟云学术

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Quantitative evaluation of subsurface cracks with laser-generated surface wave based on back propagation neural network

Published:2022-06-16 Issue:7 Volume:128 Page:
ISSN:0947-8396
Container-title:Applied Physics A
language:en
Short-container-title:Appl. Phys. A

Author:

Lin Jiang,Wang Chuanyong^ORCID,Wang Wen,Chen Jian,Sun Anyu,Ju Bing-Feng

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Provincial Universities of Zhejiang

the Major Program of Zhejiang Provincial Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science,General Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s00339-022-05699-3.pdf

Reference30 articles.

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2. Z. Li, F. Zhang, X. Luo, Subsurface damages beneath fracture pits of reaction-bonded silicon carbide after ultra-precision grinding. Appl. Surf. Sci. 448, 341–350 (2018). https://doi.org/10.1016/j.apsusc.2018.04.038

3. Y.V. Korkh, D.V. Perov, A. Rinkevich, Detection of subsurface microflaws using the high-frequency acoustic microscopy method. Russ. J. Nondestruct. Test. 51(4), 198–209 (2015). https://doi.org/10.1134/S1061830915040051

4. D. Ghosh, B. Surendra, A. Ganguli, A. Mukherjee, Reference free imaging of subsurface cracks in concrete using Rayleigh waves. Struct. Control. Health Monit. (2018). https://doi.org/10.1002/stc.2246

5. J.T. Zeng, K.Y. Zhao, H.R. Zeng, H.Z. Song, L.Y. Zheng, G.R. Li, Q.R. Yin, Subsurface defect of amorphous carbon film imaged by near field acoustic microscopy. Appl. Phys. A 91(2), 261–265 (2008). https://doi.org/10.1007/s00339-008-4408-3

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