Intelligent Tensioning Method for Prestressed Cables Based on Digital Twins and Artificial Intelligence
Zhansheng Liu1,2, Guoliang Shi1,2, Anshan Zhang1,2
1College of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China.
Sensors (Basel, Switzerland)
|December 11, 2020
Summary
This study introduces an intelligent method for prestressed cable tensioning by integrating digital twins (DTs) and artificial intelligence (AI). This fusion enhances safety performance evaluation and control in complex steel structures.
Area of Science:
- Structural Engineering
- Computational Engineering
- Artificial Intelligence
Background:
- Prestressed steel structures require precise cable tensioning, facing challenges in multi-dimensional scheduling and quality control.
- Existing methods struggle with the complexity of large-scale tensioning processes.
- Digital twins (DTs) and artificial intelligence (AI) offer potential solutions for intelligent control.
Purpose of the Study:
- To propose an intelligent method for prestressed cable tensioning by integrating DTs and AI.
- To analyze the fusion mechanism and technical characteristics of DTs and AI for this application.
- To address challenges in multi-dimensional scheduling, large scales, and quality control.
Main Methods:
- Analysis of technical characteristics of digital twins (DTs) and artificial intelligence (AI).
- Development of a fusion mechanism for DTs and AI.
- Construction of a high-fidelity twin model and 3D integrated data model using sensing equipment and intelligent algorithms.
- Multi-level control considering space and time dimensions.
Main Results:
- An intelligent tensioning method for prestressed cables driven by DTs and AI integration was proposed.
- Key issues for an intelligent control center were discussed.
- Closed-loop control of intelligent tensioning safety evaluation was realized.
- Focus on intelligent evaluation of safety performance.
Conclusions:
- The integration of DTs and AI provides an effective approach for intelligent tensioning of prestressed cables.
- The proposed method enhances safety performance evaluation and control.
- This study offers a reference for DTs and AI fusion in intelligent tensioning applications.
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