Machine Learning-Based Structural Health Monitoring of Dams

Author:

Bolzon GabriellaORCID,Nogara CaterinaORCID

Publisher

Springer Nature Singapore

Reference35 articles.

1. International Commission on Large Dams (ICOLD): Automated dam monitoring systems: guidelines and case histories. Technical Report B-118 (2000)

2. International Commission on Large Dams (ICOLD): Dam surveillance guide. Technical report B-158 (2012)

3. Malm, R., Hellgren, R., Klun, M., Simon, A., Salazar, F.: Theme A: Behaviour prediction of a concrete arch dam. In: 16th International Benchmark Workshop on Numerical Analysis of Dams, Ljubljana, Slovenia (2022)

4. Nogara, C., Bolzon, G.: Machine Learning tools applied to the prediction and interpretation of the structural behavior of existing dams. In: Procedia Structural Integrity, in press (2023)

5. Figueiredo, E., Brownjohn, J.: Three decades of statistical pattern recognition paradigm for SHM of bridges. Struct. Health Monit. 21(6), 3018–3054 (2022)

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