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A hybrid probabilistic-deterministic framework for prediction of characteristic size of corrosion pits in low-carbon steel following long-term seawater exposure

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Abstract
A hybrid deterministic-probabilistic framework is presented that combines in-situ measurements and numerical analysis to predict the characteristic size of corrosion pits over extended periods of exposure to seawater. A probabilistic model, informed by corrosion current density and temperature data, applies a sampling method to a range of overpotential values to reflect the surface deterioration in terms of pitting. The model is calibrated and validated with pit size data obtained from corroded coupons. Results reveal a positively skewed truncated lognormal distribution of pit depths which implies a higher prevalence of smaller pit depths, corroborated both experimentally and numerically.
Keywords
Pitting corrosion, Offshore structures, Probabilistic analysis, Latin Hypercube, Low-carbon steel, S355, potentiodynamic polarization, PITTING CORROSION, STATISTICAL CHARACTERIZATION, PHASE-FIELD, PART 1, MARINE, DAMAGE, MODEL

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Citation

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MLA
Mehri Sofiani, Farid, et al. “A Hybrid Probabilistic-Deterministic Framework for Prediction of Characteristic Size of Corrosion Pits in Low-Carbon Steel Following Long-Term Seawater Exposure.” CORROSION SCIENCE, vol. 232, 2024, doi:10.1016/j.corsci.2024.112039.
APA
Mehri Sofiani, F., Tacq, J., Elahi, S. A., Chaudhuri, S., & De Waele, W. (2024). A hybrid probabilistic-deterministic framework for prediction of characteristic size of corrosion pits in low-carbon steel following long-term seawater exposure. CORROSION SCIENCE, 232. https://doi.org/10.1016/j.corsci.2024.112039
Chicago author-date
Mehri Sofiani, Farid, Jeroen Tacq, Seyed Ahmad Elahi, Somsubhro Chaudhuri, and Wim De Waele. 2024. “A Hybrid Probabilistic-Deterministic Framework for Prediction of Characteristic Size of Corrosion Pits in Low-Carbon Steel Following Long-Term Seawater Exposure.” CORROSION SCIENCE 232. https://doi.org/10.1016/j.corsci.2024.112039.
Chicago author-date (all authors)
Mehri Sofiani, Farid, Jeroen Tacq, Seyed Ahmad Elahi, Somsubhro Chaudhuri, and Wim De Waele. 2024. “A Hybrid Probabilistic-Deterministic Framework for Prediction of Characteristic Size of Corrosion Pits in Low-Carbon Steel Following Long-Term Seawater Exposure.” CORROSION SCIENCE 232. doi:10.1016/j.corsci.2024.112039.
Vancouver
1.
Mehri Sofiani F, Tacq J, Elahi SA, Chaudhuri S, De Waele W. A hybrid probabilistic-deterministic framework for prediction of characteristic size of corrosion pits in low-carbon steel following long-term seawater exposure. CORROSION SCIENCE. 2024;232.
IEEE
[1]
F. Mehri Sofiani, J. Tacq, S. A. Elahi, S. Chaudhuri, and W. De Waele, “A hybrid probabilistic-deterministic framework for prediction of characteristic size of corrosion pits in low-carbon steel following long-term seawater exposure,” CORROSION SCIENCE, vol. 232, 2024.
@article{01J0X40R8491JV53TZKMCA9FE2,
  abstract     = {{A hybrid deterministic-probabilistic framework is presented that combines in-situ measurements and numerical analysis to predict the characteristic size of corrosion pits over extended periods of exposure to seawater. A probabilistic model, informed by corrosion current density and temperature data, applies a sampling method to a range of overpotential values to reflect the surface deterioration in terms of pitting. The model is calibrated and validated with pit size data obtained from corroded coupons. Results reveal a positively skewed truncated lognormal distribution of pit depths which implies a higher prevalence of smaller pit depths, corroborated both experimentally and numerically.}},
  articleno    = {{112039}},
  author       = {{Mehri Sofiani, Farid and Tacq, Jeroen and Elahi, Seyed Ahmad and Chaudhuri, Somsubhro and De Waele, Wim}},
  issn         = {{0010-938X}},
  journal      = {{CORROSION SCIENCE}},
  keywords     = {{Pitting corrosion,Offshore structures,Probabilistic analysis,Latin Hypercube,Low-carbon steel,S355,potentiodynamic polarization,PITTING CORROSION,STATISTICAL CHARACTERIZATION,PHASE-FIELD,PART 1,MARINE,DAMAGE,MODEL}},
  language     = {{eng}},
  pages        = {{15}},
  title        = {{A hybrid probabilistic-deterministic framework for prediction of characteristic size of corrosion pits in low-carbon steel following long-term seawater exposure}},
  url          = {{http://doi.org/10.1016/j.corsci.2024.112039}},
  volume       = {{232}},
  year         = {{2024}},
}

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