Long-term cable vibration monitoring and cable tension estimation of a cable-stayed bridge

Long-term cable vibration monitoring and cable tension estimation of a cable-stayed bridge

Wenjie Jiang, Chul-Woo Kim, Kazuyuki Ono

Abstract. This study aims to investigate the applicability of ambient cable vibrations for cable tension estimation and the identification uncertainty and effect of EOVs in the long-term SHM of cable tensions. An advantage of long-term ambient vibration monitoring is that there is no need to close roads for the monitoring campaign once a monitoring system is installed. A disadvantage of long-term environmental vibration monitoring is the difficulty in dealing with uncertainties caused by environmental and operational variations (EOVs). A Bayesian approach to quantify uncertainties in monitoring is thus proposed for the identification of cable tension. Variations of the identified cable tension in the short- and long-term monitoring are examined to discuss the need for normalization of EOVs in damage detection. Long-term monitoring of the cable-stayed bridge showed that it is possible to estimate cable tension using ambient vibration measurements, but that the seasonal variation is greater for longer cables than for shorter cables, making it clear that a trend component of the seasonal variation needs to be taken into account.

Keywords
Ambient Vibration, Cable-Stayed Bridge, Cable Tension Identification, Environmental and Operational Variations, Long-Term Monitoring

Published online 3/30/2023, 9 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Wenjie Jiang, Chul-Woo Kim, Kazuyuki Ono, Long-term cable vibration monitoring and cable tension estimation of a cable-stayed bridge, Materials Research Proceedings, Vol. 27, pp 8-16, 2023

DOI: https://doi.org/10.21741/9781644902455-2

The article was published as article 2 of the book Structural Health Monitoring

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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