Structural Change Identification at a Wind Turbine Blade using Model Updating

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dc.identifier.uri http://dx.doi.org/10.15488/16342
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/16469
dc.contributor.author Schröder, Karsten
dc.contributor.author Grove, Saskia
dc.contributor.author Tsiapoki, Stavroula
dc.contributor.author Gebhardt, Cristian G.
dc.contributor.author Rolfes, Raimund
dc.date.accessioned 2024-02-20T07:33:39Z
dc.date.available 2024-02-20T07:33:39Z
dc.date.issued 2018
dc.identifier.citation Schröder, K.; Grove, S.; Tsiapoki, S.; Gebhardt, C.G.; Rolfes, R.: Structural Change Identification at a Wind Turbine Blade using Model Updating. In: Journal of Physics: Conference Series (JPCONF) 1104 (2018), 012030. DOI: https://doi.org/10.1088/1742-6596/1104/1/012030
dc.description.abstract In this paper, a damage and ice accretion localization method based on finite element model updating is tested using the example of a wind turbine blade. Both eigenfrequencies in combination with mode shapes and a new comparison technique based on transmissibility functions are employed in order to define measures for a quantification of the difference between numerical and measured results. Results of these quantifications are used to define an optimization problem, minimizing the deviation between model and measurement by variations of the numerical model using a combination of a global and a local optimization method. A full-scale rotor blade was tested in a rotor blade test facility in order to test those structural health monitoring methods. During the test, additional masses were installed on the structure in order to emulate ice accretion. Afterwards, the blade was driven to damage using an edgewise fatigue test. In this test a crack occurs at the trailing edge of the rotor blade. The model updating algorithm is applied to locate and quantify both structural changes with the two different measures. Though shown to be successful in a numerical study, both measures return incorrect damage locations when applied to real measurement data. On the other hand, ice localization is successful using eigenfrequencies and mode shapes, even quantification is possible. If transmissibility functions are applied, the localization is not possible. eng
dc.language.iso eng
dc.publisher Bristol : IOP Publ.
dc.relation.ispartofseries Journal of Physics: Conference Series (JPCONF) 1104 (2018)
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0
dc.subject Fatigue testing eng
dc.subject Ice eng
dc.subject Numerical methods eng
dc.subject Offshore oil well production eng
dc.subject Structural health monitoring eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 530 | Physik
dc.title Structural Change Identification at a Wind Turbine Blade using Model Updating eng
dc.type Article
dc.type Text
dc.relation.essn 1742-6596
dc.relation.issn 1742-6588
dc.relation.doi https://doi.org/10.1088/1742-6596/1104/1/012030
dc.bibliographicCitation.volume 1104
dc.bibliographicCitation.firstPage 012030
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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