Monitoring temperature effect on a long suspension bridge

Xu, Y. L.; Chen, B.; Ng, C. L.; Wong, K. Y.; Chan, W. Y.

doi:10.1002/stc.340

Cited by 219Structural Health Monitoring TechniquesStructural Engineering and Materials AnalysisStructural Engineering and Vibration Analysis

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Monitoring temperature effect on a long suspension bridge

Xu, Y. L., Chen, B., Ng, C. L., Wong, K. Y., Chan, W. Y.·2009·Structural Control and Health Monitoring

DOI 10.1002/stc.340

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Abstract

The Tsing Ma Bridge in Hong Kong is a long suspension bridge. A wind and structural health monitoring system (WASHMS) has been installed in the bridge and operated by the Hong Kong Highways Department since 1997. The WASHMS is devised to carry out the monitoring of environmental status, traffic loads, bridge features and bridge responses. The environmental status includes temperature environment monitored by temperature sensors, whereas the bridge responses contain displacement responses recorded by displacement transducers, level sensing stations, and global positioning systems (GPS). Bridge displacement responses are, however, induced by a combination of four major types of loadings due to wind, temperature, highway, and railway. This investigation focuses on the temperature environment and the predominating temperature effect on the Tsing Ma Bridge. The main features and the pertinent monitoring system of the Tsing Ma Bridge are first introduced. The data collected from the four types of sensors are pre-processed. The statistics of ambient air temperature, effective temperature and displacement response of the bridge are then figured out based on the measurement data. The statistical relationship between the effective temperature and the displacement of the bridge is finally established. These results are useful for monitoring temperature effects on the Tsing Ma Bridge. Copyright © 2009 John Wiley & Sons, Ltd.

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Changes in structural responses due to temperature variations could be more significant than those due to a medium degree of structural damage or under normal operational loads.
“Some studies have found that changes in structural responses due to temperature variations could be more significant than those due to a medium degree of structural damage [4] or under normal operational loads [226].”
From Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019 (2021) · cites this paper as [226]

Temperature‐Dependent Bridge Movements
Moorty, S., & Roeder, C. W. (1992) · Journal of Structural Engineering · doi:10.1061/(asce)0733-9445(1992)118:4(1090 · Cited by 137
Numerical modelling for temperature distribution in steel bridges
Tong, M., Tham, L. G., Au, F. T. K., & Lee, P. K. K. (2001) · Computers & Structures · doi:10.1016/s0045-7949(00)00161-9 · Cited by 111
Dynamic testing and system identification of a multi-span highway bridge
Huang, C., Yang, Y. B., Lu, L., & Chen, C. H. (1999) · Earthquake Engineering & Structural Dynamics · doi:10.1002/(sici)1096-9845(199908)28:8 · Cited by 79
Planning and implementation of the structural health monitoring system for cable-supported bridges in Hong Kong
Wong, K. Y., Lau, C. K., & Flint, A. R. (2000) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.387819 · Cited by 54
Self-citation
Prediction of Temperatures in Concrete Bridges
Churchward, A., & Sokal, Y. J. (1981) · Journal of the Structural Division · doi:10.1061/jsdeag.0005815 · Cited by 41
Design thermal loading for composite bridges in tropical region
Au, F. T. K., Cheung, S. K., & Tham, L. G. (2002) · Steel and Composite Structures · doi:10.12989/scs.2002.2.6.441 · Cited by 14

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Dilger WH, Loptson SA. Temperature monitoring of the Confederation Bridge. Proceedings of the Annual Conference of the Canadian Society for Civil Engineering, Quebec, Canada, 1997; 151-160.

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Authors: Xu, Y. L., Chen, B., Ng, C. L., Wong, K. Y., & Chan, W. Y.
Affiliations: Hong Kong Polytechnic University (HK)
Government of Hong Kong (HK)
Corresponding author: Xu, Y. L.
ORCID: Xu, Y. L.
Venue: Structural Control and Health Monitoring
Publisher: Hindawi Limited
Published: 2009
Pages: n/a-n/a
ISSN: 1545-2255 (ISSN-L)
1545-2263
DOI: 10.1002/stc.340
OpenAlex: W2042136389
Cited by: 219
References: 6
Citations by year: 2026: 2 · 2025: 18 · 2024: 22 · 2023: 14 · 2022: 16 · 2021: 30 · 2020: 16 · 2019: 16 · 2018: 12 · 2017: 19 · 2016: 8 · 2015: 15 · 2014: 11 · 2013: 11 · 2012: 5
FWCI: 9.98
Type: journal article
Language: en
Open access: closed
Licence: doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 2434 d)
Locations: Structural Control and Health Monitoring (publishedVersion)
PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
Topics: Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Materials Analysis
Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Vibration Analysis
Keywords: Tsing Ma Bridge, suspension bridges, temperature effects, ambient temperature, effective temperature, structural health monitoring, temperature sensors, displacement sensor, GPS tracking, wind loads

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Monitoring temperature effect on a long suspension bridge

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