A graph convolutional network method for rapid global stiffness prediction under multiple damage scenarios
Accurately predicting the overall structural stiffness under damage conditions is a crucial aspect of structural health monitoring, as it is essential for ensuring the safety and reliability of engineering structures, given that damage significantly impairs load-bearing capacity. Currently, research on structural stiff...
Dawei Liu, Chengshuo Li, Yuequan Bao et al.
· Structural Health Monitoring · 0 citations