Smart Structures and Systems

  • 제29권4호
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  • Pages.561-576
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  • 2022
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Design and implementation of a SHM system for a heritage timber building

  • Yang, Qingshan (School of Civil Engineering, Chongqing University) ;
  • Wang, Juan (School of Civil Engineering, Beijing Jiaotong University) ;
  • Kim, Sunjoong (Department of Civil Engineering, University of Seoul) ;
  • Chen, Huihui (School of Civil Engineering, Beijing Jiaotong University) ;
  • Spencer, Billie F. Jr. (Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign)
  • 투고 : 2021.06.01
  • 심사 : 2021.12.20
  • 발행 : 2022.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

Heritage timber structures represent the history and culture of a nation. These structures have been inherited from previous generations; however, they inevitably exhibit deterioration over time, potentially leading to structural deficiencies. Structural Health Monitoring (SHM) offers the potential to assess operational anomalies, deterioration, and damage through processing and analysis of data collected from transducers and sensors mounted on the structure. This paper reports on the design and implementation of a long-term SHM system on the Feiyun Wooden Pavilion in China, a three-story timber building built more than 500 years ago. The principles and features of the design and implementation of SHM systems for heritage timber buildings are systematically discussed. In total, 104 sensors of 6 different types are deployed on the structure to monitor the environmental effects and structural responses, including air temperature and humidity, wind speed and direction, structural temperatures, strain, inclination, and acceleration. In addition, integrated data acquisition and transmission subsystem using a newly developed software platform are implemented. Selected preliminary statistical and correlation analysis using one year of monitoring data are presented to demonstrate the condition assessment capability of the system based on the monitoring data.

키워드

과제정보

The work was supported by Chongqing Science and Technology Bureau (cstc2018jcyj-yszxX0010) and the National Natural Science Foundation of China (No. 51978038). The authors would also like to thank the research project funding of the 111 Project of China (Nos. B13002, B18062). The help from Prof. S.S. Law and Prof. X.Q. Zhu is also acknowledged.

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