Smart Structures and Systems

  • 제17권3호
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  • Pages.431-444
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  • 2016
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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Automated identification of the modal parameters of a cable-stayed bridge: Influence of the wind conditions

  • Magalhaes, Filipe (CONSTRUCT - ViBest, Faculty of Engineering, University of Porto (FEUP)) ;
  • Cunha, Alvaro (CONSTRUCT - ViBest, Faculty of Engineering, University of Porto (FEUP))
  • 투고 : 2015.08.05
  • 심사 : 2015.12.12
  • 발행 : 2016.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper was written in the context of a benchmark study promoted by The Hong Kong Polytechnic University using data samples collected in an instrumented cable-stayed bridge. The main goal of the benchmark test was to study the identification of the bridge modes of vibration under different wind conditions. In this contribution, the tools developed at ViBest/FEUP for automated data processing of setups collected by dynamic monitoring systems are presented and applied to the data made available in the context of the benchmark study. The applied tools are based on parametric output only modal identification methods combined with clustering algorithms. The obtained results demonstrate that the proposed algorithms succeeded to automatically identify the modes with relevant contribution for the bridge response under different wind conditions.

키워드

참고문헌

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피인용 문헌

  1. Dynamic Property Evaluation of a Long-Span Cable-Stayed Bridge (Sutong Bridge) by a Bayesian Method pp.1793-6764, 2018, https://doi.org/10.1142/S0219455419400108
  2. Operation load estimation of chain-like structures using fiber optic strain sensors vol.20, pp.3, 2017, https://doi.org/10.12989/sss.2017.20.3.385
  3. ÇOK KATLI YAPILARDA ROBOTİK LAZER TARAYICI SİSTEMLERLE YAPISAL SAĞLIK TAKİBİ vol.23, pp.3, 2018, https://doi.org/10.17482/uumfd.448640
  4. Automatic identification of modal parameters for structures based on an uncertainty diagram and a convolutional neural network vol.28, pp.None, 2016, https://doi.org/10.1016/j.istruc.2020.08.077
  5. Fast operational modal analysis of a single-tower cable-stayed bridge by a Bayesian method vol.174, pp.None, 2021, https://doi.org/10.1016/j.measurement.2021.109048
  6. Critical review of data-driven decision-making in bridge operation and maintenance vol.18, pp.1, 2016, https://doi.org/10.1080/15732479.2020.1833946