Identification of Structural Damage Location and Severity Using Deep Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3654-6_19
Reference4 articles.
1. Worden K, Manson G (2007) The application of machine learning to structural health monitoring. Philos Trans Royal Soc A: Math Phys Eng Sci 365(1851):515–537
2. Khalkar V, Ramachandran S (2018) The effect of crack geometry on stiffness of spring steel cantilever beam. J Low Freq Noise Vib Active Control 37(4):762–773
3. Seventekidis P, Giagopoulos D, Arailopoulos A, Markogiannaki O (2020) Structural health monitoring using deep learning with optimal finite element model generated data. Mech Syst Signal Process 145:106972
4. Oliver GA, Ancelotti AC, Gomes GF (2021) Neural network-based damage identification in composite laminated plates using frequency shifts. Neural Comput Appl 33:3183–3194
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