## 3 Analysis of Simulation Data Based on D-S Evidence Theory
### Analysis Process of Sensitivity  
The DT framework is integrated with the D-S evidence theory to intelligently discriminate the sensitivity of the mechanical parameters of the cables. First, a twin model was built for a realistic tensioned structure, and the model was modified by the weighted average method to improve the fidelity of the model. In the virtual model with high fidelity, the working conditions corresponding to the construction site were set, and the mechanical performance index data simulated in the model were extracted. The relevant information of the index data is determined probabilistically, and the sensitivity of the integrated mechanical parameters of each node of the cable is calculated by integrating the D-S evidence theory algorithm. In this study, the sensitivity of the mechanical parameters is characterized by the degree of change in the mechanical parameters of each node on the cable. By sorting the probability of change in mechanical parameters at each point of the cable, the change degree of mechanical properties at each point can be determined. According to the sensitivity of the mechanical parameters, the most vulnerable position of the structure can be directly determined, thus providing a basis for the safety performance evaluation and maintenance of the structure. The process of safety performance assessment and maintenance of the structure through a sensitivity analysis of the mechanical parameters is shown in Figure 4.  
Intelligent Discrimination of the Sensitivity of Mechanical Parameters of Prestressed Cables under the Effect of Temperature  
In the intelligent discrimination framework of mechanical parameter sensitivity driven by DTs, a high-fidelity virtual model of a realistic tensioning structure is established. The twin data are also processed by integrating the D-S evidence theory, which can accurately discriminate the sensitivity of the mechanical parameters of each prestressed cable node under the effect of an external environment using model simulation data. The experimental model built in this study is a reduced-scale test model based on a certain wheel-spoke cable truss project. Compared with the actual project, the scale ratio of the test model was 1:10, cross-sectional area ratio of the cable was 1:100, and materials were identical. The structure span of the test model was 6 m and consisted of 10 radial cables, ring cables, braces, nodes, outer ring beams, and steel columns. The radial cables include upper and  
Figure 4: Safety performance assessment and maintenance process for structures. lower radial cableshe radial cables include upper and lower radial cables, and the ring cables include upper and lower ring cables. The struts included the outer, middle, and inner struts. The model used to test the wheel, spoke cable truss, is shown in Figure 5. This study focuses on the analysis of changes in structural mechanical parameters under the effect of temperature difference. First, the mechanical parameters of the structure are simulated in the high-fidelity virtual model, and the degree of change in the mechanical parameters of each node is analyzed by fusing the D-S evidence theory to find and monitor the most sensitive position, thus realizing the intelligent evaluation of the safety performance of the structure. In the test process, to simulate roof installation after the cable is formed, the effect of temperature difference on the structural safety performance of the cable is considered, and the extreme working conditions are considered. Combined with the temperature change in the region where a practical project is located, it is concluded that the annual temperature change in the region is 55 \({}^{\circ}\)C. In order to simulate the state of the real structure, a test model is built.