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Approaching the assessment of ageing bridge infrastructure

  • Boller, Christian (Non-Destructive Testing and Quality Assurance (LZfPQ), Saarland University) ;
  • Starke, Peter (Non-Destructive Testing and Quality Assurance (LZfPQ), Saarland University) ;
  • Dobmann, Gerd (Non-Destructive Testing and Quality Assurance (LZfPQ), Saarland University) ;
  • Kuo, Chen-Ming (Non-Destructive Testing and Quality Assurance (LZfPQ), Saarland University) ;
  • Kuo, Chung-Hsin (Non-Destructive Testing and Quality Assurance (LZfPQ), Saarland University)
  • 투고 : 2014.11.25
  • 심사 : 2015.02.07
  • 발행 : 2015.03.25

초록

In many of the industrialized countries an increasing amount of infrastructure is ageing. This has become specifically critical to bridges which are a major asset with respect to keeping an economy alive. Life of this infrastructure is scattering but often little quantifiable information is known with respect to its damage condition. This article describes how a damage tolerance approach used in aviation today may even be applied to civil infrastructure in the sense that operational life can be applied in the context of modern life cycle management. This can be applied for steel structures as a complete process where much of the damage accumulation behavior is known and may even be adopted to concrete structures in principle, where much of the missing knowledge in damage accumulation has to be substituted by enhanced inspection. This enhanced and continuous inspection can be achieved through robotic systems in a first approach as well as built in sensors in the sense of structural health monitoring (SHM).

키워드

참고문헌

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피인용 문헌

  1. Levels of approximation for the shear assessment of reinforced concrete slab bridges vol.18, pp.1, 2017, https://doi.org/10.1002/suco.201600012
  2. Enhanced assessment of ageing phenomena in steel structures based on materials data and non-destructive testing vol.47, pp.10, 2016, https://doi.org/10.1002/mawe.201600615
  3. Prediction of the remaining service life of existing concrete bridges in infrastructural networks based on carbonation and chloride ingress vol.21, pp.3, 2015, https://doi.org/10.12989/sss.2018.21.3.305
  4. Autonomous vision-based damage chronology for spatiotemporal condition assessment of civil infrastructure using unmanned aerial vehicle vol.25, pp.6, 2015, https://doi.org/10.12989/sss.2020.25.6.733
  5. Critical review of data-driven decision-making in bridge operation and maintenance vol.18, pp.1, 2015, https://doi.org/10.1080/15732479.2020.1833946