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Experimental Characterisation of Dynamic Properties of an All-FRP Truss Bridge

  • Xiaojun WeiEmail author
  • Giosue Boscato
  • Justin Russell
  • Alessandro Adilardi
  • Salvatore Russo
  • Stana Živanović
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)

Abstract

Fibre Reinforced Polymers (FRPs) have increasingly been utilised for construction of pedestrian bridges due to high strength- and stiffness-to-weight ratios, low maintenance costs and quick installation. Their relatively low mass and stiffness make these bridges potentially susceptible to vibration serviceability problems, which increasingly govern the design. Currently, the wider application of FRPs in civil engineering is hindered by the lack of experimental insight in dynamic performance of as-built structures. This paper presents an experimental investigation on a 25 m long glass-FRP truss footbridge in Italy. Ambient vibration tests were conducted to identify the dynamic properties. The peak-picking method and stochastic subspace identification approach were employed for modal parameter identification. The two methods produced very consistent results. Eight vibration modes were identified in the frequency range up to 10 Hz. Two lateral flexural vibration modes having natural frequencies of 5.8 and 9.6 Hz were identified, as well as two vertical flexural modes (at 7.5 and 8.1 Hz) and four torsional modes (at 2.1, 2.7, 4.8 and 9.3 Hz). Damping ratios for all modes up to 10 Hz except the eighth mode were above 1.2%.

Keywords

FRP truss footbridge Dynamic properties Ambient vibration testing Peak picking method Stochastic subspace identification method 

Notes

Acknowledgements

This research work was supported by the UK Engineering and Physical Sciences Research Council [grant number EP/M021505/1: Characterising dynamic performance of fibre reinforced polymer structures for resilience and sustainability].

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Copyright information

© The Society for Experimental Mechanics, Inc. 2019

Authors and Affiliations

  • Xiaojun Wei
    • 1
    Email author
  • Giosue Boscato
    • 2
  • Justin Russell
    • 1
  • Alessandro Adilardi
    • 3
  • Salvatore Russo
    • 2
  • Stana Živanović
    • 1
  1. 1.School of EngineeringUniversity of WarwickCoventryUK
  2. 2.Iuav University of VeniceVeniceItaly
  3. 3.Comune di PratoPratoItaly

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