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On the estimation of the ductility demand on reinforced concrete bridge piers from structural health monitoring data

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Abstract

A method for the estimation of the ductility demand on reinforced concrete piers during ground seismic shaking is proposed. The required input is the measurement data from a structural health monitoring system within the time window of the seismic event. The procedure relies on detection of high-frequency transients related to damage and their distance forward in time to the closest deformation extrema. A formulation is proposed which relates these measurements to the ductility demand on the pier. A step-by-step description of the procedure is provided along with a case study implementation on an experimental reinforced concrete column. The ductility demand is estimated and compared with the one obtained from the experimental force–deformation curve.

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Acknowledgements

This work has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant agreement No 721816. The research was performed as part of project XP-Resilience coordinated by the University of Trento, Italy.

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Authors and Affiliations

  1. Department of Civil, Environmental and Mechanical Engineering, University of Trento, 38123, Trento, Italy

    Aleksandar Zhelyazkov

  2. Department of Civil and Environmental Engineering, University of Strathclyde, Glasgow, G1 1XQ, UK

    Daniele Zonta

  3. Wenzel Consulting Engineers, Vienna, 1180, Austria

    Helmut Wenzel

  4. Vienna Consulting Engineers, Vienna, 1030, Austria

    Aleksandar Zhelyazkov & Peter Furtner

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  1. Aleksandar Zhelyazkov
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  2. Daniele Zonta
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  3. Helmut Wenzel
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  4. Peter Furtner
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Correspondence to Aleksandar Zhelyazkov.

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Zhelyazkov, A., Zonta, D., Wenzel, H. et al. On the estimation of the ductility demand on reinforced concrete bridge piers from structural health monitoring data. J Civil Struct Health Monit 10, 283–295 (2020). https://doi.org/10.1007/s13349-020-00383-7

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  • DOI: https://doi.org/10.1007/s13349-020-00383-7

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