## 3 Analysis of Simulation Data Based on D-S Evidence Theory
### The Analysis Process of Sensitivity  
A high-fidelity twin model is the basis for the intelligent discrimination of the sensitivity of mechanical parameters in cables under the effect of temperature. In this study, ANSYS was used to establish a finite element model for the simulation and analysis of structural performance. In the finite element model, the mechanical performance indices such as cable force (\(C_{f}\)), deflection (\(\omega\)), stress (\(\delta\)), strain (\(\varepsilon\)), and crack (C) of the structure can be simulated by setting various types of effects to which the structure is subjected. Among them, the main effects of the structure include the length error of the member (\(L_{e}\)), wind load action (\(W_{l}\)), and temperature action (\(T_{e}\)). After the finite element model is established, to achieve a realistic mapping of the real structure, the model needs to be modified to improve the fidelity of the model. The monitored data of the field sensors and the simulated data of the model were fused according to the model correction law proposed in Section 2.3. Finally, the parameters and node connections of the twin model were adjusted using the cable force as the control object. In the performance analysis of this structure, the analysis focused on the support and midspan position of each section of the cable. Under the self-weight of the structure, cable force sensors are arranged at the supports and midspan positions of each section  
Figure 5: Model for the test of the wheel-spoke cable truss. of the upper and lower radial cables of the test structure to collect the cable forces of the cable members. The cable forces of the corresponding nodes of the cables are simulated in the twin model. In this case, the nodes of the real structure with the sensors are the same as the nodes of the simulated data in the model. Taking the upper radial cable of the first bay as an example, the nodes where the sensors are arranged in the real structure and the nodes simulated in the model are shown in Figure 6. A total of seven nodes were selected in upper radial cable 1. The cable force and strain sensors are arranged at each control node, while the real-time acquisition of vertical displacement is carried out by a total station. In the finite element model, the analysis of the corresponding mechanical parameters is carried out for each node. Using the average weighting method, the index (\(E_{D}\)) for adjusting the fidelity of the twin model is within 5%, and mapping to the real structure can be achieved. In this study, the finite element model was modified by adjusting the cross-sectional area of the cable before studying the effect of temperature on the mechanical properties of the structure. In Figure 6, by collecting the cable force of each node under the action of self-weight, the weighted average method is used for data fusion. Considering that the change of the section size of the component will cause the change of the self-weight of the structure, the fidelity of the finite element model is improved by modifying the section area of the component. The dimensions of the modified finite element model members are listed in Table 1. Taking the whole of each cable as the object of examination, a comparison of the simulation of the cable force before and after the model correction is shown in Table 2. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Member Type** & **Location** & **Cross-Sectional Area (mm2)** \\ \hline Radial cable & Upper level & 24.6 \\  & Lower level & 33.3 \\ Ring cable & Upper circle & 24.6 \\  & Lower circle & 49.1 \\  & Outer circle & 62.8 \\ Strut & Mid circle & 62.8 \\  & Inner circle & 62.8 \\ Ring beam & Outer circle & 4300 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Dimensions of the modified finite element model members. Figure 6: Schematic diagram of the selection of nodes. From the comparison before and after the model correction, it can be seen that the revised model can reflect the state of the real structure effectively.