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Bridge Damage Detection Using ANN by Guilherme Porto is a document available to read on EtoBox.
What is Bridge Damage Detection Using ANN about?
The document discusses a method for detecting damage in bridges using neural networks to analyze vibration signatures. It details the application of two ANN algorithms, PRAN and DIGNET, in conjunction with a finite element model to identify and validate damage scenarios in a 140-year-old bridge. The study highlights the importance of sensor placement and noise levels in accurately assessing the bridge
- Author
- Guilherme Porto
- Language
- EN