Details
| Original language | English |
|---|---|
| Article number | 103232 |
| Journal | Marine structures |
| Volume | 84 |
| Early online date | 30 Apr 2022 |
| Publication status | Published - Jul 2022 |
Abstract
Supporting structures for offshore wind turbines and the appropriate transformer platforms are highly susceptible to corrosion. Especially the phenomenon of pitting corrosion is very crucial, since this leads to local stress concentrations and hence has an impact on the fatigue life of marine structures. Despite corrosion protection systems, corrosion cannot be completely avoided, which can lead to pitting corrosion on the steel surface. Stress concentrations from pitting corrosion are not explicitly considered within the design of offshore structures. This is only possible by using local fatigue concepts, which requires a realistic modelling of corroded steel surfaces and the corresponding stress concentrations. Hence, in this work, three different models for evaluating the stress concentrations were developed: single-pit model, double-pit model and random fields model. The results were compared to the stress concentrations of a real corroded surface, which was analysed with the reverse engineering method. In all models, the probability-based determination of the stress concentration was the main focus in order to consider the characteristic scatter in pitting corrosion. The comparison of the three models with the real surface shows a good agreement with the double-pit model. It becomes evident, that the single-pit and the random fields model are not sufficient for modelling the stress concentrations. However, derived stress concentrations from the double-pit model and the real surface model can be utilized for risk and reliability-based analysis with local fatigue strength concepts.
Keywords
- Corrosion, Corrosion fatigue, Local fatigue concept, Monte-carlo, Offshore-wind, Pitting corrosion, Random fields, Reverse engineering, Stress concentrations
ASJC Scopus subject areas
- Materials Science(all)
- General Materials Science
- Engineering(all)
- Ocean Engineering
- Engineering(all)
- Mechanics of Materials
- Engineering(all)
- Mechanical Engineering
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In: Marine structures, Vol. 84, 103232, 07.2022.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Probabilistic modelling of pitting corrosion and its impact on stress concentrations in steel structures in the offshore wind energy
AU - Shojai, Mohammad Sulaiman
AU - Schaumann, Peter
AU - Brömer, Tim
N1 - Funding Information: The project ISyMOO is funded by the German Federal Ministry of Economic Affairs and Climate Action (BMWK) through the 6th National Energy Research Program under the funding number 0324254A .
PY - 2022/7
Y1 - 2022/7
N2 - Supporting structures for offshore wind turbines and the appropriate transformer platforms are highly susceptible to corrosion. Especially the phenomenon of pitting corrosion is very crucial, since this leads to local stress concentrations and hence has an impact on the fatigue life of marine structures. Despite corrosion protection systems, corrosion cannot be completely avoided, which can lead to pitting corrosion on the steel surface. Stress concentrations from pitting corrosion are not explicitly considered within the design of offshore structures. This is only possible by using local fatigue concepts, which requires a realistic modelling of corroded steel surfaces and the corresponding stress concentrations. Hence, in this work, three different models for evaluating the stress concentrations were developed: single-pit model, double-pit model and random fields model. The results were compared to the stress concentrations of a real corroded surface, which was analysed with the reverse engineering method. In all models, the probability-based determination of the stress concentration was the main focus in order to consider the characteristic scatter in pitting corrosion. The comparison of the three models with the real surface shows a good agreement with the double-pit model. It becomes evident, that the single-pit and the random fields model are not sufficient for modelling the stress concentrations. However, derived stress concentrations from the double-pit model and the real surface model can be utilized for risk and reliability-based analysis with local fatigue strength concepts.
AB - Supporting structures for offshore wind turbines and the appropriate transformer platforms are highly susceptible to corrosion. Especially the phenomenon of pitting corrosion is very crucial, since this leads to local stress concentrations and hence has an impact on the fatigue life of marine structures. Despite corrosion protection systems, corrosion cannot be completely avoided, which can lead to pitting corrosion on the steel surface. Stress concentrations from pitting corrosion are not explicitly considered within the design of offshore structures. This is only possible by using local fatigue concepts, which requires a realistic modelling of corroded steel surfaces and the corresponding stress concentrations. Hence, in this work, three different models for evaluating the stress concentrations were developed: single-pit model, double-pit model and random fields model. The results were compared to the stress concentrations of a real corroded surface, which was analysed with the reverse engineering method. In all models, the probability-based determination of the stress concentration was the main focus in order to consider the characteristic scatter in pitting corrosion. The comparison of the three models with the real surface shows a good agreement with the double-pit model. It becomes evident, that the single-pit and the random fields model are not sufficient for modelling the stress concentrations. However, derived stress concentrations from the double-pit model and the real surface model can be utilized for risk and reliability-based analysis with local fatigue strength concepts.
KW - Corrosion
KW - Corrosion fatigue
KW - Local fatigue concept
KW - Monte-carlo
KW - Offshore-wind
KW - Pitting corrosion
KW - Random fields
KW - Reverse engineering
KW - Stress concentrations
UR - http://www.scopus.com/inward/record.url?scp=85129072445&partnerID=8YFLogxK
U2 - 10.1016/j.marstruc.2022.103232
DO - 10.1016/j.marstruc.2022.103232
M3 - Article
AN - SCOPUS:85129072445
VL - 84
JO - Marine structures
JF - Marine structures
SN - 0951-8339
M1 - 103232
ER -