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Vulnerability of bridges to individual and multiple hazards- floods and earthquakes

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  • Argyroudis, Sotirios A.
  • Mitoulis, Stergios Aristoteles

Abstract

Building resilient bridges, that are able to withstand multiple natural stressors with minimal damage and quickly restore their functionality is paramount to delivering climate-resilient transport infrastructure. Nevertheless, bridges are proven to be vulnerable to natural hazards, with floods and earthquakes being the main causes of failure. The available research and practice for assessing the vulnerability of river-crossing bridges is predominantly qualitative and therefore relies heavily on visual inspections, while ignoring important characteristics of the complex water-soil-bridge interaction. This is a knowledge gap that this paper aims to fill. This work provides novel fragility models for hydraulically induced stressors and/or combinations of hydraulic and seismic hazards. To achieve this, unique detailed two- and three- dimensional numerical models are employed, for a typical three-span prestressed box-girder river-crossing bridge. This paper is a primer on the vulnerability of flood-critical bridges as it models the entire water-soil-bridge system, taking into account critical hydraulic stressors (scour, debris accumulation, hydraulic forces), the uncertainty in scour hole formation, and all components of integral and isolated bridges: deck, bearings, piers and abutments, backfill, and the foundation soil. A detailed description of the damage modes for each component is given and sets of fragility curves for floods and combinations of hydraulic stressors and earthquakes are developed. The study concludes that integral bridges are in most cases more vulnerable to local scour than bridges with bearings, since the latter are more flexible and can therefore adapt to changes in their geometry. The opposite is true for global scour and/or seismic earthquake excitations. The generated fragility models are useful tools for quantitative risk assessment of transport systems and provide practical means in resilience-based asset management by owners and operators of transport infrastructure.

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  • Argyroudis, Sotirios A. & Mitoulis, Stergios Aristoteles, 2021. "Vulnerability of bridges to individual and multiple hazards- floods and earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    • Handle: RePEc:eee:reensy:v:210:y:2021:i:c:s0951832021001162
    DOI: 10.1016/j.ress.2021.107564
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    References listed on IDEAS

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    1. Nofal, Omar M. & van de Lindt, John W. & Do, Trung Q., 2020. "Multi-variate and single-variable flood fragility and loss approaches for buildings," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    2. Shekhar, Shivang & Ghosh, Jayadipta, 2020. "A metamodeling based seismic life-cycle cost assessment framework for highway bridge structures," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    3. Bilal M. Ayyub, 2014. "Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 340-355, February.
    4. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    5. E. E. Koks & J. Rozenberg & C. Zorn & M. Tariverdi & M. Vousdoukas & S. A. Fraser & J. W. Hall & S. Hallegatte, 2019. "A global multi-hazard risk analysis of road and railway infrastructure assets," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    6. Ghosh, Jayadipta & Sood, Piyush, 2016. "Consideration of time-evolving capacity distributions and improved degradation models for seismic fragility assessment of aging highway bridges," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 197-218.
    7. Woods, David D., 2015. "Four concepts for resilience and the implications for the future of resilience engineering," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 5-9.
    8. Rob Lamb & Paige Garside & Raghav Pant & Jim W. Hall, 2019. "A Probabilistic Model of the Economic Risk to Britain's Railway Network from Bridge Scour During Floods," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2457-2478, November.
    9. Michalis I. Vousdoukas & Lorenzo Mentaschi & Evangelos Voukouvalas & Martin Verlaan & Svetlana Jevrejeva & Luke P. Jackson & Luc Feyen, 2018. "Global probabilistic projections of extreme sea levels show intensification of coastal flood hazard," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    10. Argyroudis, Sotirios A. & Mitoulis, Stergios Α. & Winter, Mike G. & Kaynia, Amir M., 2019. "Fragility of transport assets exposed to multiple hazards: State-of-the-art review toward infrastructural resilience," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
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    2. Oluwatuyi, Opeyemi E. & Ng, Kam & Wulff, Shaun S., 2023. "Improved resistance prediction and reliability for bridge pile foundation in shales through optimal site investigation plans," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    3. Li, Chao & Diao, Yucheng & Li, Hong-Nan & Pan, Haiyang & Ma, Ruisheng & Han, Qiang & Xing, Yihan, 2023. "Seismic performance assessment of a sea-crossing cable-stayed bridge system considering soil spatial variability," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    4. Fahad, Md Golam Rabbani & Nazari, Rouzbeh & Motamedi, M.H. & Karimi, Maryam, 2022. "A Decision-Making Framework Integrating Fluid and Solid Systems to Assess Resilience of Coastal Communities Experiencing Extreme Storm Events," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
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