<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>To improve the accuracy of rope force prediction and the safety of the construction process. In this paper, based on digital twin technology in the design process, digital twins of physical entities in virtual space are constructed using digital to achieve digital control and optimization of physical entities. The structural response information collected by sensors is brought into the dynamic load identification method by calculating the solution method of the dynamic load of the digital twin technology. The damping effect is considered in the load vector. The displacement is eliminated by constructing an average loss function to disperse the motion time to solve for the dynamic load imposed on the structure and obtain the load-bearing state of the structure for dome cable force prediction. To verify the feasibility of the model, the results of the cable force prediction analysis show that the overall displacement of the mesh shell displacement nodes at the bishop number 200-400 has a more uniform step distribution, and the cable force of the internal and external radial cables has a small change in the predicted structural cable force at the position of 40° angle with the long axis. Thus, it can be seen that the cable force prediction of a circular chord-supported dome with digital twin technology can break the tradition and further improve structural safety and implementability.</p>
</abstract>

To improve the accuracy of rope force prediction and the safety of the construction process. In this paper, based on digital twin technology in the design process, digital twins of physical entities in virtual space are constructed using digital to achieve digital control and optimization of physical entities. The structural response information collected by sensors is brought into the dynamic load identification method by calculating the solution method of the dynamic load of the digital twin technology. The damping effect is considered in the load vector. The displacement is eliminated by constructing an average loss function to disperse the motion time to solve for the dynamic load imposed on the structure and obtain the load-bearing state of the structure for dome cable force prediction. To verify the feasibility of the model, the results of the cable force prediction analysis show that the overall displacement of the mesh shell displacement nodes at the bishop number 200-400 has a more uniform step distribution, and the cable force of the internal and external radial cables has a small change in the predicted structural cable force at the position of 40° angle with the long axis. Thus, it can be seen that the cable force prediction of a circular chord-supported dome with digital twin technology can break the tradition and further improve structural safety and implementability.

Research on the prediction method of string-supported dome cable force based on digital twin technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

To improve the accuracy of rope force prediction and the safety of the construction process. In this paper, based on digital twin technology in the design...

Research on the prediction method of string-supported dome cable force based on digital twin technology

Online veröffentlicht: 07. Okt. 2023

Seitenbereich: -

Eingereicht: 19. Nov. 2022

Akzeptiert: 17. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00506

Schlüsselwörter
Digital twin technique, Mean loss function, Load vector, Damping effect

© 2023 Fanmin Meng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the prediction method of string-supported dome cable force based on digital twin technology

Online veröffentlicht: 07. Okt. 2023

Seitenbereich: -

Eingereicht: 19. Nov. 2022

Akzeptiert: 17. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00506

SchlüsselwörterDigital twin technique, Mean loss function, Load vector, Damping effect

© 2023 Fanmin Meng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Digital twin technique, Mean loss function, Load vector, Damping effect