Smart Structures and Systems

  • 제15권4호
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  • Pages.1019-1039
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  • 2015
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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Development and application of construction monitoring system for Shanghai Tower

  • Li, Han (Department of Civil Engineering, The Tongji University) ;
  • Zhang, Qi-Lin (Department of Civil Engineering, The Tongji University) ;
  • Yang, Bin (Department of Civil Engineering, The Tongji University) ;
  • Lu, Jia (Department of Civil Engineering, The Tongji University) ;
  • Hu, Jia (Department of Civil Engineering, The Tongji University)
  • 투고 : 2013.09.01
  • 심사 : 2014.03.10
  • 발행 : 2015.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

Shanghai Tower is a composite structure building with a height of 632 m. In order to verify the structural properties and behaviors in construction and operation, a structural health monitoring project was conducted by Tongji University. The monitoring system includes sensor system, data acquisition system and a monitoring software system. Focusing on the health monitoring in construction, this paper introduced the monitoring parameters in construction, the data acquisition strategy and an integration structural health monitoring (SHM) software. The integration software - Structural Monitoring/ Analysis/ Evaluation System (SMAE) is designed based on integration and modular design idea, which includes on-line data acquisition, finite elements and dynamic property analysis functions. With the integration and modular design idea, this SHM system can realize the data exchange and results comparison from on-site monitoring and FEM effectively. The analysis of the monitoring data collected during the process of construction shows that the system works stably, realize data acquirement and analysis effectively, and also provides measured basis for understanding the structural state of the construction. Meanwhile, references are provided for the future automates construction monitoring and implementation of high-rise building structures.

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참고문헌

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  1. Vision-based full-field panorama generation by UAV using GPS data and feature points filtering vol.25, pp.5, 2015, https://doi.org/10.12989/sss.2020.25.5.631
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