Damage identification on 2D Calumet bridge model benchmark leaderboard · SOTA2 Research

Damage identification on 2D Calumet bridge model

99.91Average AccuracyPhy-RNN

Evaluation Results

Method	Links
Phy-RNN2025.01		99.91	—	0.53
Phy-RNN2025.01		99.84	—	0.52
Phy-RNN2025.01		99.82	—	0.67
Phy-RNN2025.01		99.8	—	0.48
Phy-RNN2025.01		99.7	—	1.22
Phy-RNN2025.01		99.67	—	2.23
Phy-RNN2025.01		99.66	—	0.52
Phy-RNN2025.01		99.62	—	0.72
Phy-RNN2025.01		99.5	—	0.8
Phy-RNN2025.01		98.75	—	2.16