4.5 Article

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

Journal

SMART STRUCTURES AND SYSTEMS
Volume 17, Issue 6, Pages 859-880

Publisher

TECHNO-PRESS
DOI: 10.12989/sss.2016.17.6.859

Keywords

cable-stayed bridge; cable force; effective temperature; daily variation; long-term variation; transfer coefficient; damage detection; air temperature

Funding

  1. Ministry of Science and Technology of Republic of China [NSC100-2221-E-224-049, NSC 101-2221-E-224-061, NSC102-2221-E-224-043]

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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 1% can be confidently detected. As for the required time to detect damage, it is found that the cases with 2% of cable force change can be discovered in no more than 6 hours and those with 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 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.

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