Dfd-Based Design, Assembly, High-Accuracy Real-Time Monitoring And Levelling Calibration For Large-Scale Prefabricate Structure With Multiple Measuring Systems

Xiang Wang Tongji University
Ziqi Zhou China Construction First Group Corporation Limited
Xueyuan Lv China Construction First Group Corporation Limited
Philip F. Yuan Tongji University
Lei Chen China Construction First Group Corporation Limited

Prefabricated structures have gained more and more popularity nowadays with their advantages in the efficiency of fabrication and assembly process. With the increase in the demand for high-precision prefabrication and assembly process, a variety of advanced measurement technologies such as 3D scanning and vision-based recognition technology are becoming more and more in the current architecture and construction industry[1]. However, most of these technologies failed in a wide application due to its low accuracy and the long duration of the post-processing process of the collected data. This article introduces a novel monitoring method for the construction of high-precision prefabricated structures based on multiple sensors and measurement technologies. The proposed method introduces the optical motion capture system and combines it with traditional construction measurement technology to achieve real-time dynamic monitoring of more than hundreds of points within a large construction area more than 18*10m. Tolerance fitting algorithms and the correction methods are developed and testified to provide a global tolerance with ±1mm. Meanwhile a real-time visualization interface is developed to provide the feedback and analysis of the tolerance for each structure components. As demonstrator, such monitoring system is applied in a real construction of a DfD (Design For Deconstruction)-based prefabricated steel structure in the “Water Cube”(Chinese National Swimming Center) in Beijing. To renovate the existing swimming pool to a potential ice-hockey rink with a very high demand of flatness for the 2022 Winter Olympics, a component-based prefabricated steel structure is designed for a quick assembly process. A BIM-based design and assembly strategy is made to provide a full digitalization of all the structural component and to ensure a detailed consideration of the assembly progress. With the demand to finished the assembly progress in 20 days and the flatness tolerance within 6mm (within a 25*50m area), a multi-sensor-based monitoring system is also tested as a demonstrator of this paper. Detailed illustration of design and assembly of this system is presented in this paper and the application and analysis of the monitoring technology is shown. The BIM system of the prefabricated components and the assembly process is illustrated. Meanwhile, the application of multi-sensor system and the real-time monitoring and feedback system is detailed explained. It demonstrates to provide strong efficiency to finish all the leveling process of more than 1,000 steel beams and more than 1,600 concrete slabs and enables the control of the final global leveling error within 6mm for the construction range of 50*25m. The presented system shows its efficiency and accuracy to be used in more and more cases of prefabricated architecture assemblies, especially the DfD-based structures. It is expected that it can be used in a wider area of intelligent assembly of more prefabricated buildings. Reference: 1. Oh B K, Hwang J W, Choi S W, et al. Dynamic displacements‐based model updating with motion capture system[J]. Structural Control and Health Monitoring, 2017, 24(4): e1904.

Keywords: ‘Sdg8’ / ‘Sdg9’, Real-Time Monitoring, Sensoring, Prefabricated Structures, Motion Capture Technology

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