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

Table 4

Cases for damage identification with multiple locations.

Damage section	Damage severity
Sections 1 and 3	20%-20%; 20%-30%; 20%-35%; 20%-40%; 30%-20%; 30%-30%; 30%-35%; 30%-40%; 35%-20%; 35%-30%; 35%-35%; 35%-40%; 40%-20%; 40%-30%; 40%-35%; 40%-40%;
Sections 2 and 4	20%-20%; 20%-30%; 20%-35%; 20%-40%; 30%-20%; 30%-30%; 30%-35%; 30%-40%; 35%-20%; 35%-30%; 35%-35%; 35%-40%; 40%-20%; 40%-30%; 40%-35%; 40%-40%;

Note: case with damage levels of A%-B% in damage sections C1 and C2 represents that the damage severity of section C1 is A% and that of section C2 is B%.