dc.contributor.author | Drexler, Sebastian | |
dc.contributor.author | Muskulus, Michael | |
dc.date.accessioned | 2021-11-23T08:59:06Z | |
dc.date.available | 2021-11-23T08:59:06Z | |
dc.date.created | 2021-11-21T17:00:28Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Journal of Physics: Conference Series (JPCS). 2021, 2018, . | en_US |
dc.identifier.issn | 1742-6588 | |
dc.identifier.uri | https://hdl.handle.net/11250/2830900 | |
dc.description.abstract | Probabilistic methods in wind turbine design are becoming more important in order to achieve a higher and more economic utilization of the structural resources. A design is thereby evaluated through its reliability by taking uncertainties into account. The influence of uncertainties emerging specifically within the fatigue limit state can be essential on a structure's reliability. For that reason, this study investigates two different sources for uncertainties within probabilistic fatigue design. The influence of a reduced approach, where the random behavior of a structural failure is only represented through an uncertain critical Miner sum, is compared to an approach, where also the S-N curve is subjected to uncertainties. For this, an offshore wind turbine with monopile support structure is investigated. The reliability analysis is performed through crude Monte Carlo simulations which utilize a Gaussian Process regression model in order to determine the wind turbine's structural response. The results show that both sources of uncertainties, the critical Miner sum and the S-N curve, contribute differently to the overall reliability. Uncertainties of the critical Miner sum have a rather small influence, whereas the implementation of an uncertain S-N curve leads to a noticeable increase of the reliability. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IOP Publishing | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Reliability of an offshore wind turbine with an uncertain S-N curve | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 12 | en_US |
dc.source.volume | 2018 | en_US |
dc.source.journal | Journal of Physics: Conference Series (JPCS) | en_US |
dc.identifier.doi | 10.1088/1742-6596/2018/1/012014 | |
dc.identifier.cristin | 1956961 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |