Smart Structures and Systems

  • 제15권1호
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  • Pages.151-167
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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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Instrumentation on structural health monitoring systems to real world structures

  • Teng, Jun (School of Civil Engineering, Fujian University of technology) ;
  • Lu, Wei (Department of Civil and Environmental Engineering, Harbin Institute of Technology Shenzhen Graduate School) ;
  • Wen, Runfa (Department of Civil and Environmental Engineering, Harbin Institute of Technology Shenzhen Graduate School) ;
  • Zhang, Ting (Department of Civil and Environmental Engineering, Harbin Institute of Technology Shenzhen Graduate School)
  • 투고 : 2014.01.12
  • 심사 : 2014.05.27
  • 발행 : 2015.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

Instrumentation on structural health monitoring system imposes critical issues for applying the structural monitoring system to real world structures, for which not only on the configuration and geometry, but also aesthetics on the system to be monitored should be considered. To illustrate this point, two real world structural health monitoring systems, the structural health monitoring system of Shenzhen Vanke Center and the structural health monitoring system of Shenzhen Bay Stadium in China, are presented in the paper. The instrumentation on structural health monitoring systems of real world structures is addressed by providing the description of the structure, the purpose of the structural health monitoring system implementation, as well as details of the system integration including the installations on the sensors and acquisition equipment and so on. In addition, an intelligent algorithm on stress identification using measurements from multi-region is presented in the paper. The stress identification method is deployed using the fuzzy pattern recognition and Dempster-Shafer evidence theory, where the measurements of limited strain sensors arranged on structure are the input data of the method. As results, at the critical parts of the structure, the stress distribution evaluated from the measurements has shown close correlation to the numerical simulation results on the steel roof of the Beijing National Aquatics Center in China. The research work in this paper can provide a reference for the design and implementation of both real world structural health monitoring systems and intelligent algorithm to identify stress distribution effectively.

키워드

과제정보

연구 과제 주관 기관 : National Science Foundation of China

참고문헌

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피인용 문헌

  1. Structural-Performance Tracking to Multitype Members of Shenzhen Vanke Center in Construction Phase vol.30, pp.2, 2017, https://doi.org/10.1061/(ASCE)AS.1943-5525.0000702
  2. Absolute stress measurement of structural steel members with ultrasonic shear-wave spectral analysis method 2017, https://doi.org/10.1177/1475921717746952
  3. Structural Monitoring Techniques for the Largest Excavation Section Subsea Tunnel: Xiamen Xiang’an Subsea Tunnel vol.30, pp.2, 2017, https://doi.org/10.1061/(ASCE)AS.1943-5525.0000594
  4. Structural displacement and strain monitoring based on the edge detection operator vol.20, pp.2, 2017, https://doi.org/10.1177/1369433216660220
  5. Force monitoring of steel cables using vision-based sensing technology: methodology and experimental verification vol.18, pp.3, 2016, https://doi.org/10.12989/sss.2016.18.3.585
  6. Structural damage alarming and localization of cable-supported bridges using multi-novelty indices: a feasibility study vol.54, pp.2, 2015, https://doi.org/10.12989/sem.2015.54.2.337
  7. Cross-correlation-based algorithm for absolute stress evaluation in steel members using the longitudinal critically refracted wave vol.14, pp.10, 2018, https://doi.org/10.1177/1550147718803312
  8. Data fusion approaches for structural health monitoring and system identification: Past, present, and future pp.1741-3168, 2018, https://doi.org/10.1177/1475921718798769
  9. Influence of Uniaxial Stress on the Shear-Wave Spectrum Propagating in Steel Members vol.19, pp.3, 2019, https://doi.org/10.3390/s19030492
  10. Stress variation analysis based on temperature measurements at Zhuhai Opera House vol.5, pp.1, 2015, https://doi.org/10.12989/smm.2018.5.1.001
  11. Localisation of embedded water drop in glass composite using THz spectroscopy vol.21, pp.6, 2018, https://doi.org/10.12989/sss.2018.21.6.751
  12. A review on sensors and systems in structural health monitoring: current issues and challenges vol.22, pp.5, 2018, https://doi.org/10.12989/sss.2018.22.5.509
  13. Construction of Wireless Underground Footwork Mobile Training and Monitoring Sensor Network in Venues of Major Sports Events vol.2021, pp.None, 2021, https://doi.org/10.1155/2021/8423297