In a paper published by the journal Structural Health Monitoring, researchers from Surrey and Kings detail how they created an AI system named SHMnet to analyse and assess the damage of bolt connections used in metallic structures.
Built on the foundations of a modified Alex-Net neural network, the research team set up an impact hammer test under lab conditions and tasked SHMnet with accurately identifying the subtle condition changes of connection bolts on a steel frame under 10 damage scenarios.
Team - SHMnet - Datasets - Flawless - Cent
The team found that when SHMnet is trained using four repeated datasets, it had a flawless (100 per cent)...
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