## 5 Discussion and Conclusions  
DT technology is a central to realizing intelligent analysis of structures. A multidimensional model oriented to the intelligent discrimination of structural sensitivity driven by DTs is established, and an analysis method for the intelligent discrimination of prestressed cable sensitivity is proposed by integrating D-S evidence theory to improve the accuracy of structural safety analysis and provide a reliable basis for the maintenance of the structure. In the present study, the following main findings were obtained.  
1. Through the capture of monitored and simulated data, a virtual model of the structure with high fidelity can be established using the average weighting method, which provides a model basis for the intelligent analysis of the structure.
2. On the basis of establishing the twin model, the mechanical parameters of the structure are simulated by setting the working conditions. Further, the mechanical properties of each node can be analyzed with high accuracy by integrating multiclass discriminant indices from D-S evidence theory, which guarantees the safety assessment and accurate maintenance of the structure.
3. Through the integration of DTs and D-S evidence theory, the mapping of virtual space to real tension can be realized, and it also provides a reference for the virtual space to control the real tension.  
Driven by the DT-based intelligent discrimination method for the sensitivity of the mechanical parameters of prestressed cables, the safety assessment of structures can be carried out by fusing intelligent algorithms with simulated data from twin models, which effectively improves the intelligence and accuracy of structural analysis and also reduces the cost of real-time monitoring of real structures. This overcomes the misjudgment of structural safety performance owing to errors in the data collected by sensors. The change in structural safety performance is related to influencing factors such as the length error of members, wind load, and temperature. In future research, the influence of the change degree of mechanical parameters on the development trend of structural reliability will be focused on according to the concept of DTs and under the comprehensive action of various factors.  
Conceptualization, Z.L.; methodology, Z.L.; software, Z.L.; validation, Z.L., G.S., A.J., and W.L.; writing--original draft preparation, G.S.; writing, review and editing, Z.L.; project administration, Z.L.; funding acquisition, Z.L. All authors have read and agreed to the published version of the manuscript.  
Figure 8: Relationship between the accuracy of sensitive analysis and the fidelity of the model and the number of discriminative indicators.  
**Funding:** The research was funded by the National Key R&D Program for the 13 th-Five-Year Plan of China (grant number 2018 YFF0300300 The research was funded by the Natural Science Foundation of Beijing, Beijing, China (grant number 8202001).  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** Data sharing not applicable.  
**Acknowledgments:** The authors would like to thank Beijing University of Technology, Beijing, China, for their support throughout the research project.  
**Conflicts of Interest:** The authors declare no conflict of interest.