Research Article
Seismic Fragility Analysis of the Reinforced Concrete Continuous Bridge Piers Based on Machine Learning and Symbolic Regression Fusion Algorithms
Table 9
of column pier vulnerability curve.
| Direction | IMs | Damage states | DS1 | DS2 | DS3 | DS4 |
| Transverse | Machine learning and symbolic regression fusion algorithms | 0.385 | 0.375 | 0.372 | 0.371 | Single | 1.257 | 1.246 | 1.242 | 1.240 | Kiani | 1.362 | 1.355 | 1.353 | 1.352 | Lv Dagang | 1.455 | 1.431 | 1.423 | 1.420 | Liu Tingting | 1.271 | 1.265 | 1.262 | 1.261 | Longitudinal | Machine learning and symbolic regression fusion algorithms | 0.112 | 0.106 | 0.105 | 0.105 | Single | 0.867 | 0.834 | 0.827 | 0.825 | Kiani | 1.145 | 1.126 | 1.122 | 1.121 | Lv Dagang | 1.141 | 1.066 | 1.052 | 1.047 | Liu Tingting | 0.919 | 0.882 | 0.875 | 0.873 |
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Note. DS1, DS2, DS3, and DS4 represent four types of damage states: slight damage, moderate damage, severe damage, and complete damage.
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