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Monitoring of the UHPFRC strengthened Chillon viaduct under environmental and operational variability
Abstract
Constructed in 1969, the Chillon viaducts constitute a vital component of the Swiss roadway network. The bridge deck was strengthened in 2015 by means of an Ultra High Performance Fiber Reinforced Cement-based Composite for alleviating the effects of deterioration that has been induced by Alkali-Silica Reaction. In order to assess the efficacy of this rehabilitation solution, and to further evaluate its long-term performance, a Structural Health Monitoring (SHM) campaign was implemented, relying on low-cost, yet easily deployable, sensors. The deployed monitoring solution includes a suite of accelerometers, strain gauges, temperature and humidity sensors. This work studies and reports on the influence of operational (traffic) and environmental (temperature and humidity) conditions onto structural performance, on the basis of monitoring data extracted form the first moths of the monitoring campaign. To this end, the monitoring data are initially processed by means of standard modal analysis methods, as well as non-stationary time-series analysis tools. In a second step, a finite element model of the system is built and updated, and subsequently exploited to deliver a comparison between the original and rehabilitated structure. Finally, by exploiting the updated system model, a reliability analysis is carried out, which confirms the efficiency of the strengthening solution.
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“Mart ın-Sanz et al. [31] report on the influence of operational loads in the identification of bridge structures, explaining that nonstationary behavior can arise, which calls for use of dedicated system identification tools that account for time-varying response.”
From On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications (2025) · cites this paper as [31]
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Cited by
Review of ultra-high performance concrete and its application in bridge engineering
Xue, J., Briseghella, B., Huang, F., Nuti, C., Tabatabai, H., & Chen, B. (2020) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2020.119844 · Cited by 471
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Self-citation
Metadata
- Authors
- Martín-Sanz, H., Tatsis, K., Dertimanis, V. K., Avendaño-Valencia, L. D., Brühwiler, E., & Chatzi, E.
- Affiliations
- Department of Civil, Environmental and Geomatic Engineering (IBK), ETH Zürich, Switzerland;
- SDU Embodied Systems for Robotics and Learning, The Maersk Mc-Kinney Institute, Syddansk Universitet, Odense, Denmark;
- Structural Maintenance and Safety Laboratory (MCS), EPFL, Lausanne, Switzerland
- Venue
- Structure and Infrastructure Engineering
- Publisher
- Informa UK Limited
- Published
- 2019-09-03
- Volume
- 16
- Issue
- 1
- Pages
- 138-168
- ISSN
- 1573-2479
- 1744-8980
- Cited by
- 22
- References
- 87
- Language
- en
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