Artificial intelligence and finite element modelling for monitoring flood defence structures

Authors
  • A.L. Pyayt
  • I.I. Mokhov
  • A. Kozionov
  • V. Kusherbaeva
Publication date 2011
Book title EESMS 2011 proceedings
Book subtitle 2011 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems : Università degli Studi di Milano, September 28, 2011, Milan, Italy
ISBN
  • 9781457706103
ISBN (electronic)
  • 9781457706080
Event 2011 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)
Number of pages 7
Publisher Piscataway, NJ: IEEE
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract We present a hybrid approach to monitoring the stability of flood defence structures equipped with sensors. This approach combines the finite element modelling with the artificial intelligence for real-time signal processing and anomaly detection. This combined method has been developed for the UrbanFlood early warning system and successfully tested on a large-scale sea dike during a simulated strong storm with very high water level. The artificial intelligence module detects the onset of dike instability after being trained on the data from the Virtual Dike finite element simulation.
Document type Conference contribution
Language English
Published at
https://doi.org/10.1109/EESMS.2011.6067047 (Final published version)
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