IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v93y2008i3p373-382.html
   My bibliography  Save this article

Pitting corrosion and structural reliability of corroding RC structures: Experimental data and probabilistic analysis

Author

Listed:
  • Stewart, Mark G.
  • Al-Harthy, Ali

Abstract

A stochastic analysis is developed to assess the temporal and spatial variability of pitting corrosion on the reliability of corroding reinforced concrete (RC) structures. The structure considered herein is a singly reinforced RC beam with Y16 or Y27 reinforcing bars. Experimental data obtained from corrosion tests are used to characterise the probability distribution of pit depth. The RC beam is discretised into a series of small elements and maximum pit depths are generated for each reinforcing steel bar in each element. The loss of cross-sectional area, reduction in yield strength and reduction in flexural resistance are then inferred. The analysis considers various member spans, loading ratios, bar diameters and numbers of bars in a given cross-section, and moment diagrams. It was found that the maximum corrosion loss in a reinforcing bar conditional on beam collapse was no more than 16%. The probabilities of failure considering spatial variability of pitting corrosion were up to 200% higher than probabilities of failure obtained from a non-spatial analysis after 50 years of corrosion. This shows the importance of considering spatial variability in a structural reliability analysis for deteriorating structures, particularly for corroding RC beams in flexure.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:3:p:373-382
    DOI: 10.1016/j.ress.2006.12.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832007000099
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2006.12.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Changxi & Elsayed, Elsayed A., 2020. "Stochastic modeling of corrosion growth," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    2. 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).
    3. Suo, Qinghui & Stewart, Mark G., 2009. "Corrosion cracking prediction updating of deteriorating RC structures using inspection information," Reliability Engineering and System Safety, Elsevier, vol. 94(8), pages 1340-1348.
    4. Lv, Ya-jun & Wang, Jun-wei & Wang, Julian & Xiong, Cheng & Zou, Liang & Li, Ly & Li, Da-wang, 2020. "Steel corrosion prediction based on support vector machines," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    5. Clerc, Romain & Oumouni, Mestapha & Schoefs, Franck, 2019. "SCAP-1D : A Spatial Correlation Assessment Procedure from unidimensional discrete data," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    6. Bigaud, David & Ali, Osama, 2014. "Time-variant flexural reliability of RC beams with externally bonded CFRP under combined fatigue-corrosion actions," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 257-270.
    7. 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.
    8. Xie, Yi & Zhang, Jinsuo & Aldemir, Tunc & Denning, Richard, 2018. "Multi-state Markov modeling of pitting corrosion in stainless steel exposed to chloride-containing environment," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 239-248.
    9. Hariri-Ardebili, Mohammad Amin, 2020. "Safety and reliability assessment of heterogeneous concrete components in nuclear structures," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    10. Ching, Jianye & Leu, Sou-Sen, 2009. "Bayesian updating of reliability of civil infrastructure facilities based on condition-state data and fault-tree model," Reliability Engineering and System Safety, Elsevier, vol. 94(12), pages 1962-1974.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:93:y:2008:i:3:p:373-382. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.