Research Article
Damage Identification of Bridge Based on Modal Flexibility and Neural Network Improved by Particle Swarm Optimization
Table 4
Training samples for damage severity identification of elements 5 and 8.
| Node number | Damage severity (%) | 5 | 10 | 15 | 20 |
| 2 | 0.10 | 0.10 | 0.10 | 0.10 | 3 | 0.30 | 0.30 | 0.30 | 0.30 | 4 | 0.50 | 0.50 | 0.50 | 0.50 | 5 | 0.69 | 0.69 | 0.69 | 0.69 | 6 | 0.83 | 0.83 | 0.83 | 0.83 | 7 | 0.92 | 0.92 | 0.92 | 0.92 | 8 | 1.00 | 1.00 | 1.00 | 1.00 | 9 | 1.00 | 1.00 | 1.00 | 1.00 | 10 | 0.93 | 0.93 | 0.93 | 0.93 | 11 | 0.85 | 0.85 | 0.85 | 0.85 | 12 | 0.78 | 0.77 | 0.77 | 0.77 | 13 | 0.69 | 0.69 | 0.69 | 0.69 | 14 | 0.60 | 0.60 | 0.60 | 0.60 | 15 | 0.50 | 0.51 | 0.51 | 0.51 | 16 | 0.41 | 0.41 | 0.41 | 0.41 | 17 | 0.31 | 0.31 | 0.31 | 0.31 | 18 | 0.21 | 0.21 | 0.21 | 0.21 | 19 | 0.10 | 0.10 | 0.10 | 0.10 | 20 | 0.00 | 0.00 | 0.00 | 0.00 |
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