Research Article
Damage Identification of Bridge Based on Modal Flexibility and Neural Network Improved by Particle Swarm Optimization
Table 2
Training samples for damage severity identification of element 10.
| Node number | Damage severity (%) | 5 | 10 | 15 | 20 |
| 2 | 0.01 | 0.01 | 0.01 | 0.01 | 3 | 0.14 | 0.14 | 0.14 | 0.14 | 4 | 0.27 | 0.27 | 0.27 | 0.27 | 5 | 0.40 | 0.40 | 0.40 | 0.40 | 6 | 0.52 | 0.52 | 0.52 | 0.52 | 7 | 0.64 | 0.64 | 0.64 | 0.64 | 8 | 0.77 | 0.76 | 0.76 | 0.76 | 9 | 0.88 | 0.88 | 0.88 | 0.88 | 10 | 0.99 | 0.99 | 0.99 | 0.99 | 11 | 1.00 | 1.00 | 1.00 | 1.00 | 12 | 0.90 | 0.90 | 0.90 | 0.90 | 13 | 0.80 | 0.80 | 0.80 | 0.80 | 14 | 0.69 | 0.69 | 0.69 | 0.69 | 15 | 0.58 | 0.58 | 0.58 | 0.58 | 16 | 0.47 | 0.47 | 0.47 | 0.47 | 17 | 0.35 | 0.35 | 0.35 | 0.35 | 18 | 0.24 | 0.24 | 0.24 | 0.24 | 19 | 0.12 | 0.12 | 0.12 | 0.12 | 20 | 0.00 | 0.00 | 0.00 | 0.00 |
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