Abstract:Taking a super major bridge with a spatial suspension cable and cable stayed cooperative system across the Yellow River as the engineering background, and aiming at the problems of equal attention to all parameters and massive data in bridge health monitoring, a comprehensive correlation model for the overall mechanical response of the bridge is established in combination with Pearson correlation coefficient, entropy weight method and attribute recognition theory, thus eliminating the subjective interference of traditional analytic hierarchy process (AHP) and Delphi method. Based on 14 environmental and action parameters of the health monitoring system of the bridge, with 5 indicators such as displacement, rotation angle, strain, vibration and cable clamp slip characterizing the overall structural response, the calculations of correlation coefficient, matrix normalization, entropy weight calculation and attribute measure analysis are carried out to classify and rank the parameter correlation levels. The results show that the structural temperature at the four-point section of the girder, the internal temperature of the girder, and the mid-span structural temperature of the girder and main span have the strongest linear correlation with the overall mechanical response of the bridge. The research result clarifies the priority of environmental and functional monitoring parameters, providing a basis for ensuring the quality of health monitoring data for this type of bridge.