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dc.contributor.authorICASP14
dc.date.accessioned2023-08-03T13:35:31Z
dc.date.available2023-08-03T13:35:31Z
dc.date.issued2023
dc.identifier.citationThomas Bull, Daniel Vig Muff, Paul-Remo Wagner, Matthias Schubert, Hans J�rgen Riber, Wei-Heng Zhang, Michael Havbro Faber, Digital twin and SHM informed risk based inspection planning for offshore wind turbine structures, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.identifier.urihttp://hdl.handle.net/2262/103390
dc.descriptionPUBLISHED
dc.description.abstractStructural integrity management of wind turbine structures is typically based on equi-temporal inspection plans that do not account for the information that is or can be collected during their operation. This concerns the outcome of future inspections but also and very importantly the outcome of Structural Health Monitoring (SHM). Such information can be used within the framework of risk-based inspection (RBI) planning of structures to provide an information consistent basis for integrity management. In the present contribution we investigate how the concept of digital twins (DT) in conjunction with modern techniques of big data analysis may support this. The approach is demonstrated by a numerical example considering integrity management of a fatigue-sensitive detail of a 5MW reference offshore wind turbine support structure. The example results demonstrate the potential benefits of RBI planning and the value of taking into account the information from continuously collected SHM data.
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titleDigital twin and SHM informed risk based inspection planning for offshore wind turbine structures
dc.title.alternative14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.typeConference Paper
dc.type.supercollectionscholarly_publications
dc.type.supercollectionrefereed_publications
dc.rights.ecaccessrightsopenAccess


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    14th International Conference on Application of Statistics and Probability in Civil Engineering

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