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Reliability assessment of existing RC bridges with spatially-variable pitting corrosion subjected to increasing traffic demand

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  • Pugliese, F.
  • De Risi, R.
  • Sarno, L. Di

Abstract

Bridges are critical for transportation networks. Temporary closures due to poor maintenance may trigger adverse cascading events, affecting economic and societal well-being. Two main factors play a key role in bridge health conditions: ageing and wear-and-tear due to the increasing traffic. This paper proposes a comprehensive framework to quantify the combined phenomena in a holistic approach. The reliability assessment of an existing reinforced concrete bridge subjected to increasing traffic demand and spatially-variable pitting corrosion is investigated. Empirical data are used to develop probabilistic models for cracking initiation, pitting factor, severe cracking, and cover spalling.

Suggested Citation

  • Pugliese, F. & De Risi, R. & Sarno, L. Di, 2022. "Reliability assessment of existing RC bridges with spatially-variable pitting corrosion subjected to increasing traffic demand," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    • Handle: RePEc:eee:reensy:v:218:y:2022:i:pa:s0951832021006281
    DOI: 10.1016/j.ress.2021.108137
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    References listed on IDEAS

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    1. Stewart, Mark G. & Al-Harthy, Ali, 2008. "Pitting corrosion and structural reliability of corroding RC structures: Experimental data and probabilistic analysis," Reliability Engineering and System Safety, Elsevier, vol. 93(3), pages 373-382.
    2. Chen, Suiyao & Lu, Lu & Xiang, Yisha & Lu, Qing & Li, Mingyang, 2018. "A data heterogeneity modeling and quantification approach for field pre-assessment of chloride-induced corrosion in aging infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 171(C), pages 123-135.
    3. 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.
    4. Arismendi, Renny & Barros, Anne & Grall, Antoine, 2021. "Piecewise deterministic Markov process for condition-based maintenance models — Application to critical infrastructures with discrete-state deterioration," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    5. 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).
    6. Calvert, Gareth & Neves, Luis & Andrews, John & Hamer, Matthew, 2020. "Multi-defect modelling of bridge deterioration using truncated inspection records," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
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    Citations

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    Cited by:

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    3. Wang, Tiao & Li, Chunhe & Zheng, Jian-jun & Hackl, Jürgen & Luan, Yao & Ishida, Tetsuya & Medepalli, Satya, 2023. "Consideration of coupling of crack development and corrosion in assessing the reliability of reinforced concrete beams subjected to bending," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
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    5. Li, Shunlong & Wang, Jie & He, Shaoyang, 2023. "Connectivity probability evaluation of a large-scale highway bridge network using network decomposition," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    6. Zhou, Zhou & Yu, Xiaohui & Gardoni, Paolo & Ji, Kun & Lu, Dagang, 2025. "Seismic risk estimates for reinforced concrete structures with incorporation of corrosion and aftershock," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
    7. Vishwanath, B Sharanbaswa & Banerjee, Swagata, 2023. "Considering uncertainty in corrosion process to estimate life-cycle seismic vulnerability and risk of aging bridge piers," Reliability Engineering and System Safety, Elsevier, vol. 232(C).

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