In order to improve the accuracy of bridge damage identification

based on data fusion and improved multi-objective genetic algorithm are proposed

applied for two section location and extent recognition on bridge

by gray theory

calculate static parameters of bridge

and obtain static displacement curvature confidence factor index

and modal analysis theory to calculate dynamic parameters of bridge

and obtain modal flexibility curvature ratio index

through D-S evidence

fuse two kinds of indexes to determine damage position

improve precision of results.Again by the improved genetic algorithm and fuzzy optimization theory

realize damage position and extent identification

implement sectional determination bridge structure damage location and extent

improve accuracy of identification.Through ANSYS software modeling and simulation

verify effectiveness of the proposed method.