Reliability Updating of Offshore Structures Subjected to Marine Growth
Marine growth is a known problem for oceanic infrastructure and has been shown to negatively impact the reliability of bottom-fixed or floating offshore structures submitted to fatigue or extreme loading. Among other effects, it has been shown to change drag forces by increasing member diameters and...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/2/414 |
| _version_ | 1827665823722897408 |
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| author | Franck Schoefs Thanh-Binh Tran |
| author_facet | Franck Schoefs Thanh-Binh Tran |
| author_sort | Franck Schoefs |
| collection | DOAJ |
| description | Marine growth is a known problem for oceanic infrastructure and has been shown to negatively impact the reliability of bottom-fixed or floating offshore structures submitted to fatigue or extreme loading. Among other effects, it has been shown to change drag forces by increasing member diameters and modifying the roughness. Bio-colonization being highly random, the objective of this paper is to show how one-site inspection data increases reliability by decreasing uncertainties. This can be introduced in a reliability-based inspection framework for optimizing inspection and maintenance (here, cleaning). The modeling and computation are illustrated through the reliability analysis of a monopile in the European Atlantic area subjected to marine growth and according to the plastic collapse limit state. Based on surveys of structures in the North Sea, long-term stochastic modeling (space and time) of the marine growth thickness is first suggested. A Dynamic Bayesian Network is then developed for reliability updating from the inspection data. Finally, several realistic (10–20 measurements) inspection strategies are compared in terms of reliability improvement and the accuracy of reliability assessment. |
| first_indexed | 2024-03-10T01:34:30Z |
| format | Article |
| id | doaj.art-553c60b23238402884ab4b756acaa8ad |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T01:34:30Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-553c60b23238402884ab4b756acaa8ad2023-11-23T13:35:47ZengMDPI AGEnergies1996-10732022-01-0115241410.3390/en15020414Reliability Updating of Offshore Structures Subjected to Marine GrowthFranck Schoefs0Thanh-Binh Tran1GeM (Institut de Recherche en Génie Civil et Mécanique), Institute for Research in Civil and Mechanical Engineering/IUML (Institut Universitaire Mer et Littoral), Sea and Littoral Research Institute, CNRS UMR 6183/FR 3473, Nantes Université, Ecole Centrale de Nantes, F44322 Nantes, FranceGeM (Institut de Recherche en Génie Civil et Mécanique), Institute for Research in Civil and Mechanical Engineering/IUML (Institut Universitaire Mer et Littoral), Sea and Littoral Research Institute, CNRS UMR 6183/FR 3473, Nantes Université, Ecole Centrale de Nantes, F44322 Nantes, FranceMarine growth is a known problem for oceanic infrastructure and has been shown to negatively impact the reliability of bottom-fixed or floating offshore structures submitted to fatigue or extreme loading. Among other effects, it has been shown to change drag forces by increasing member diameters and modifying the roughness. Bio-colonization being highly random, the objective of this paper is to show how one-site inspection data increases reliability by decreasing uncertainties. This can be introduced in a reliability-based inspection framework for optimizing inspection and maintenance (here, cleaning). The modeling and computation are illustrated through the reliability analysis of a monopile in the European Atlantic area subjected to marine growth and according to the plastic collapse limit state. Based on surveys of structures in the North Sea, long-term stochastic modeling (space and time) of the marine growth thickness is first suggested. A Dynamic Bayesian Network is then developed for reliability updating from the inspection data. Finally, several realistic (10–20 measurements) inspection strategies are compared in terms of reliability improvement and the accuracy of reliability assessment.https://www.mdpi.com/1996-1073/15/2/414bio-colonizationDynamic Bayesian Networkreliability updatingunderwater inspectionoffshoremonopile |
| spellingShingle | Franck Schoefs Thanh-Binh Tran Reliability Updating of Offshore Structures Subjected to Marine Growth Energies bio-colonization Dynamic Bayesian Network reliability updating underwater inspection offshore monopile |
| title | Reliability Updating of Offshore Structures Subjected to Marine Growth |
| title_full | Reliability Updating of Offshore Structures Subjected to Marine Growth |
| title_fullStr | Reliability Updating of Offshore Structures Subjected to Marine Growth |
| title_full_unstemmed | Reliability Updating of Offshore Structures Subjected to Marine Growth |
| title_short | Reliability Updating of Offshore Structures Subjected to Marine Growth |
| title_sort | reliability updating of offshore structures subjected to marine growth |
| topic | bio-colonization Dynamic Bayesian Network reliability updating underwater inspection offshore monopile |
| url | https://www.mdpi.com/1996-1073/15/2/414 |
| work_keys_str_mv | AT franckschoefs reliabilityupdatingofoffshorestructuressubjectedtomarinegrowth AT thanhbinhtran reliabilityupdatingofoffshorestructuressubjectedtomarinegrowth |