## 3 Analysis of Simulation Data Based on D-S Evidence Theory
### Analysis of Experimental Results  
In the modification of the finite element model, it is possible to effectively target a structural parameter as the control object; however, the other simulated parameters are not necessarily guaranteed to be consistent with the real structure. As the change in several mechanical parameters will have an impact on the cross-sectional area of the components and each mechanical parameter is also taken into consideration when probing the safety performance of the real structure, it is necessary to make a comprehensive judgment on the various types of data from the simulation by means of data fusion. The probability of mechanical property change at each node of the cable can be determined more precisely by the D-S evidence theory incorporating various sensitivity discriminant parameters. By comparing the detected results with the safety performance of the real structure, the ranking of the damage degree of each node is consistent, and the synchronization of the structural sensitivity degree of each point analyzed with the real monitoring value is above 95%, which provides a reliable basis for the safety assessment of the structure. In this study, with a temperature increase of 55 \({}^{\circ}\)C as the working condition, it was determined that the most sensitive position of the mechanical parameters of upper radial cable 1 under the effect of temperature is at node 5. This needs to be closely monitored to ensure the reliability of the structure.  
To verify the validity of the proposed method, the fidelity of the model and the number of discriminative indicators were varied in this study, and experimental analyses were performed on other cables as well. During the test, the mechanical parameters of each cable were analyzed. In this paper, the upper radial cable 1 is described as the key analysis object. The average weighting method is used to modify the virtual model, whereas the D-S evidence theory is used to integrate various types of discriminant indices for the sensitivity analysis of structural mechanical parameters, which are finally applied to the analysis of the safety performance of the entire structure. The fidelity of the model and the number of discriminative indicators were adjusted in the sensitivity analysis of the individual cable mechanical parameters for the entire structure. By analyzing the influence of varying fidelity and number of discriminative indicators on the accuracy of the analysis results, the relationship between accuracy and the degree of assurance and number of discriminant indicators was obtained, as shown in Figure 8. From the figure, it can be concluded that the fidelity must be within 6%, and the number of discriminative indicators must not be less than 3 to ensure that the discriminative accuracy of sensitivity is above 93.4%. As the model fidelity and number of discriminative indicators increased, the accuracy of the analysis improved significantly, but the analysis accuracy rate of improvement decreased when both increased to a certain level. Therefore, the fidelity of the model used in this study was 5%, and the number of discriminative indicators was three, which met the requirement of the accuracy of the study.