Research Article
Damage Identification of a Steel Frame Based on Integration of Time Series and Neural Network under Varying Temperatures
Table 8
The identification results of damage locations when one brace is damaged with noises.
| | Damage scenarios | aj (%) | T (°C) | Output nodes | | Noise intensity (1%) | Noise intensity (3%) | | First | Second | Third | First | Second | Third |
| | DC 1 | 50 | 20 | 0.999984 (1) | 1.28 × 10−5 (0) | 3.41 × 10−6 (0) | 1 (1) | 2.93 × 10−7 (0) | 1.69 × 10−9 (0) | | 30 | 0.999993 (1) | 1.28 × 10−5 (0) | 2.26 × 10−6 (0) | 1 (1) | 1.49 × 10−7 (0) | 4.25 × 10−10 (0) | | 70 | 20 | 0.999994 (1) | 5.19 × 10−6 (0) | 2.11 × 10−6 (0) | 1 (1) | 1.50 × 10−7 (0) | 1.15 × 10−12 (0) | | 30 | 0.999977 (1) | 0.000123 (0) | 2.08 × 10−7 (0) | 1 (1) | 5.30 × 10−7 (0) | 2.79 × 10−13 (0) | | DC 2 | 50 | 20 | 4.04 × 10−6 (0) | 0.999999 (1) | 4.86 × 10−6 (0) | 5.60 × 10−5 (0) | 0.999972 (1) | 7.43 × 10−8 (0) | | 30 | 2.15 × 10−5 (0) | 0.999999 (1) | 1.42 × 10−6 (0) | 9.15 × 10−4 (0) | 0.999981 (1) | 1.21 × 10−8 (0) | | 70 | 20 | 1.79 × 10−5 (0) | 1 (1) | 8.00 × 10−7 (0) | 2.02 × 10−6 (0) | 0.999999 (1) | 1.04 × 10−6 (0) | | 30 | 4.59 × 10−5 (0) | 0.999999 (1) | 3.82 × 10−7 (0) | 4.20 × 10−6 (0) | 1 (1) | 1.40 × 10−6 (0) | | DC 3 | 50 | 20 | 2.22 × 10−5 (0) | 1.34 × 10−5 (0) | 0.999981 (1) | 1.56 × 10−6 (0) | 4.04 × 10−7 (0) | 0.999997 (1) | | 30 | 2.29 × 10−5 (0) | 1.24 × 10−5 (0) | 0.999984 (1) | 1.67 × 10−6 (0) | 1.69 × 10−6 (0) | 1 (1) | | 70 | 20 | 5.42 × 10−6 (0) | 4.16 × 10−5 (0) | 0.999994 (1) | 8.70 × 10−7 (0) | 1.10 × 10−6 (0) | 0.999998 (1) | | 30 | 2.61 × 10−5 (0) | 1.53 × 10−5 (0) | 0.999982 (1) | 6.36 × 10−7 (0) | 3.88 × 10−6 (0) | 1 (1) |
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The target results of networks are shown in the parentheses.
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