
A hybrid probabilistic-deterministic framework for prediction of characteristic size of corrosion pits in low-carbon steel following long-term seawater exposure
- Author
- Farid Mehri Sofiani (UGent) , Jeroen Tacq, Seyed Ahmad Elahi (UGent) , Somsubhro Chaudhuri (UGent) and Wim De Waele (UGent)
- Organization
- Project
- 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
Downloads
-
F Mehri Sofiani et al. - AAM.pdf
- full text (Accepted manuscript)
- |
- open access
- |
- |
- 2.22 MB
-
(...).pdf
- full text (Published version)
- |
- UGent only
- |
- |
- 10.20 MB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01J0X40R8491JV53TZKMCA9FE2
- 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}}, }
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: