Research Article

Artificial Neural Network-Based Method for Seismic Analysis of Concrete-Filled Steel Tube Arch Bridges

Table 7

Damage probabilities of the predicted and true groups.

DirectionEarthquake intensity (g)Probability of damage state exceedance (%)
Slight damage stateModerate damage stateExtensive damage stateCollapse damage state

True valueAlong the bridgeE1 (0.12)58.239.792.320.71
E2 (0.20)71.5817.605.171.84
E3 (0.26)77.5422.827.462.86
E4 (0.34)82.8228.9710.524.34
Transverse the bridgeE1 (0.12)56.178.311.790.51
E2 (0.20)67.3413.783.541.14
E3 (0.26)72.5817.384.891.67
E4 (0.34)77.4821.626.672.43
VerticalE1 (0.12)39.784.861.050.31
E2 (0.20)62.9314.254.271.58
E3 (0.26)73.6422.167.823.25
E4 (0.34)82.6832.3713.396.22

Predicted valueAlong the bridgeE1 (0.12)56.7511.543.331.21
E2 (0.20)69.6619.676.822.82
E3 (0.26)75.5524.949.474.17
E4 (0.34)80.8631.0212.896.05
Transverse the bridgeE1 (0.12)56.3610.862.991.05
E2 (0.20)67.0817.055.482.13
E3 (0.26)72.1420.977.282.99
E4 (0.34)76.8825.499.554.14
VerticalE1 (0.12)40.026.501.780.64
E2 (0.20)60.3115.875.632.43
E3 (0.26)70.0423.109.3104.38
E4 (0.34)78.6932.0814.647.52

Absolute errorAlong the bridgeE1 (0.12)−1.481.751.010.50
E2 (0.20)−1.922.071.650.98
E3 (0.26)−1.992.122.011.31
E4 (0.34)−1.962.052.371.71
Transverse the bridgeE1 (0.12)0.192.551.200.54
E2 (0.20)−0.263.271.940.99
E3 (0.26)−0.443.592.391.32
E4 (0.34)−0.603.872.881.71
VerticalE1 (0.12)0.241.640.730.33
E2 (0.20)−2.621.621.360.85
E3 (0.26)−3.600.941.491.13
E4 (0.34)−3.99−0.291.251.30