Research Article
Damage Identification of a Steel Frame Based on Integration of Time Series and Neural Network under Varying Temperatures
Table 4
The identification results of damage severities when one brace is damaged.
| Damaged brace | aj (%) | T (°C) | Target output | Actual output | Relative error (%) |
| 1 | 50 | 20 | 0.5 | 0.485 | −2.99 | 30 | 0.5 | 0.507 | 1.46 | 70 | 20 | 0.7 | 0.728 | 3.99 | 30 | 0.7 | 0.757 | 8.11 | 4 | 50 | 20 | 0.5 | 0.500 | 0.09 | 30 | 0.5 | 0.519 | 3.89 | 70 | 20 | 0.7 | 0.742 | 6.04 | 30 | 0.7 | 0.779 | 11.31 | 5 | 50 | 20 | 0.5 | 0.455 | −8.91 | 30 | 0.5 | 0.457 | −8.63 | 70 | 20 | 0.7 | 0.734 | 4.87 | 30 | 0.7 | 0.718 | 2.57 |
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