Monitoring of fatigue/corrosion prone steel structure
Fatigue cracks originating from operational loads and corrosion due to a harsh environment are severe threats to steel structures. Structural health monitoring can potentially avoid catastrophes by timely detecting such inevitable damage. The feasibility of the electromechanical impedance based method for the detection of fatigue cracks in welded steel structures is evaluated in this project. Additionally, an artificial intelligence based image analysis method is developed that allows automated detection of corrosion.
- Promotor:Wim De Waele
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