Research Article
Fuzzy Neural Network-Based Damage Assessment of Bridge under Temperature Effect
Table 2
Cases for training.
| Temperature (°C) | Damage severity | ULSCD8 (10−8) | Damage condition |
| −20 | 10% | −1.3097 | Slight damage | 20% | −2.8716 | Moderate damage | 30% | −4.9760 | Severe damage |
| −10 | 10% | −1.3488 | Slight damage | 20% | −2.9618 | Moderate damage | 30% | −5.1336 | Severe damage |
| 0 | 10% | −1.4048 | Slight damage | 20% | −3.0803 | Moderate damage | 30% | −5.3394 | Severe damage |
| 10 | 10% | −1.4256 | Slight damage | 20% | −3.1265 | Moderate damage | 30% | −5.4208 | Severe damage |
| 20 | 10% | −1.5260 | Slight damage | 20% | −3.3502 | Moderate damage | 30% | −5.8044 | Severe damage |
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