Artificial intelligence and finite element modelling for monitoring flood defence structures
conference paper
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. © 2011 IEEE.
TNO Identifier
442935
Source title
2011 3rd IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2011, 28 September 2011, Milan, Italy
Pages
34-40
Files
To receive the publication files, please send an e-mail request to TNO Repository.