DOI QR코드

DOI QR Code

Damage detection of a cable-stayed bridge based on the variation of stay cable forces eliminating environmental temperature effects

  • Chen, Chien-Chou (Department of Construction Engineering, National Yunlin University of Science and Technology) ;
  • Wu, Wen-Hwa (Department of Construction Engineering, National Yunlin University of Science and Technology) ;
  • Liu, Chun-Yan (Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology) ;
  • Lai, Gwolong (Department of Construction Engineering, National Yunlin University of Science and Technology)
  • 투고 : 2015.12.07
  • 심사 : 2016.03.28
  • 발행 : 2016.06.25

초록

This study aims to establish an effective methodology for the detection of instant damages occurred in cable-stayed bridges with the measurements of cable vibration and structural temperatures. A transfer coefficient for the daily temperature variation and another for the long-term temperature variation are firstly determined to eliminate the environmental temperature effects from the cable force variation. Several thresholds corresponding to different levels of exceedance probability are then obtained to decide four upper criteria and four lower criteria for damage detection. With these criteria, the monitoring data for three stay cables of Ai-Lan Bridge are analyzed and compared to verify the proposed damage detection methodology. The simulated results to consider various damage scenarios unambiguously indicate that the damages with cable force changes larger than ${\pm}1%$ can be confidently detected. As for the required time to detect damage, it is found that the cases with ${\pm}2%$ of cable force change can be discovered in no more than 6 hours and those with ${\pm}1.5%$ of cable force change can be identified in at most 9 hours. This methodology is also investigated for more lightly monitored cases where only the air temperature measurement is available. Under such circumstances, the damages with cable force changes larger than ${\pm}1.5%$ can be detected within 12 hours. Even though not exhaustively reflecting the environmental temperature effects on the cable force variation, both the effective temperature and the air temperature can be considered as valid indices to eliminate these effects at high and low monitoring costs.

키워드

과제정보

연구 과제 주관 기관 : Ministry of Science and Technology

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피인용 문헌

  1. Reference-Free Displacement Estimation of Bridges Using Kalman Filter-Based Multimetric Data Fusion vol.2016, 2016, https://doi.org/10.1155/2016/3791856
  2. Diagnosis of instant and long-term damages in cable-stayed bridges based on the variation of cable forces 2018, https://doi.org/10.1080/15732479.2017.1375962
  3. Localization and quantification of partial cable damage in the long-span cable-stayed bridge using the abnormal variation of temperature-induced girder deflection pp.15452255, 2018, https://doi.org/10.1002/stc.2281
  4. A Rapidly Convergent Empirical Mode Decomposition Method for Analyzing the Environmental Temperature Effects on Stay Cable Force vol.33, pp.8, 2018, https://doi.org/10.1111/mice.12355
  5. Elimination of environmental temperature effect from the variation of stay cable force based on simple temperature measurements vol.19, pp.2, 2017, https://doi.org/10.12989/sss.2017.19.2.137
  6. Assessment of environmental effects in scour monitoring of a cable-stayed bridge simply based on pier vibration measurements vol.20, pp.2, 2017, https://doi.org/10.12989/sss.2017.20.2.231
  7. CNN-based damage identification method of tied-arch bridge using spatial-spectral information vol.23, pp.5, 2019, https://doi.org/10.12989/sss.2019.23.5.507
  8. Anomaly detection for large span bridges during operational phase using structural health monitoring data vol.29, pp.4, 2020, https://doi.org/10.1088/1361-665x/ab79b3
  9. Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview vol.10, pp.8, 2016, https://doi.org/10.3390/app10082786
  10. Wavelet Energy Accumulation Method Applied on the Rio Papaloapan Bridge for Damage Identification vol.9, pp.4, 2016, https://doi.org/10.3390/math9040422
  11. A Shannon Entropy-Based Methodology to Detect and Locate Cables Loss in a Cable-Stayed Bridge vol.13, pp.5, 2021, https://doi.org/10.1142/s1758825121500630