Damage Identification for Beam-Like Structures Based on Physics-Informed Neural Networks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37007-6_1
Reference20 articles.
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2. Ijjeh, A.A., Ullah, S., Kudela, P.: Full wavefield processing by using FCN for delamination detection. Mech. Syst. Signal Process. 153, 107537 (2021)
3. Abdeljaber, O., Avci, O., Kiranyaz, S., Gabbouj, M., Inman, D.J.: Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks. J. Sound Vib. 388, 154–170 (2017)
4. Yu, Y., Wang, C., Gu, X., Li, J.: A novel deep learning-based method for damage identification of smart building structures. Struct. Health Monitor. 18(1), 143–163 (2019)
5. Ruzzene, M.: Frequency–wavenumber domain filtering for improved damage visualization. Smart Mater. Struct. 16(6), 2116 (2007)
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