Damage Identification of Urban Overpass Based on Hybrid Neurogenetic Algorithm Using Static and Dynamic Properties

Table 7

Damage severity identification with multiple damage locations using frequency ratio.

Output results	Testing cases
	M1	M2	M3	M4	M5	M6	M7	M8
Expected outputs	0.2	0.3	0.35	0.4	0	0	0	0
	0	0	0	0	0.2	0.3	0.35	0.4
	0.3	0.35	0.35	0.2	0	0	0	0
	0	0	0	0	0.3	0.35	0.35	0.2
Actual outputs	0.21	0.31	0.34	0.41	0.00	0.00	0.00	0.00
	0.00	−0.01	0.01	−0.02	0.20	0.30	0.35	0.40
	0.30	0.35	0.34	0.21	0.00	0.00	0.00	0.00
	0.02	0.01	0.00	0.00	0.31	0.35	0.35	0.20
Relative errors (%)	5.00	3.33	2.85	2.50
					0	0	0	0
	0	0	2.85	5.00
					3.33	0	0	0