Structural Change Identification at a Wind Turbine Blade using Model Updating

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Autoren

  • Karsten Schröder
  • Saskia Grove
  • Stavroula Tsiapoki
  • Cristian G. Gebhardt
  • Raimund Rolfes

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Details

OriginalspracheEnglisch
Aufsatznummer012030
FachzeitschriftJournal of Physics: Conference Series
Jahrgang1104
Frühes Online-Datum6 Nov. 2018
PublikationsstatusVeröffentlicht - 2018
Veranstaltung15th Deep Sea Offshore Wind R and D Conference, EERA DeepWind 2018 - Trondheim, Norwegen
Dauer: 17 Jan. 201819 Jan. 2018

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.

ASJC Scopus Sachgebiete

Zitieren

Structural Change Identification at a Wind Turbine Blade using Model Updating. / Schröder, Karsten; Grove, Saskia; Tsiapoki, Stavroula et al.
in: Journal of Physics: Conference Series, Jahrgang 1104, 012030, 2018.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Schröder, K, Grove, S, Tsiapoki, S, Gebhardt, CG & Rolfes, R 2018, 'Structural Change Identification at a Wind Turbine Blade using Model Updating', Journal of Physics: Conference Series, Jg. 1104, 012030. https://doi.org/10.1088/1742-6596/1104/1/012030
Schröder, K., Grove, S., Tsiapoki, S., Gebhardt, C. G., & Rolfes, R. (2018). Structural Change Identification at a Wind Turbine Blade using Model Updating. Journal of Physics: Conference Series, 1104, Artikel 012030. https://doi.org/10.1088/1742-6596/1104/1/012030
Schröder K, Grove S, Tsiapoki S, Gebhardt CG, Rolfes R. Structural Change Identification at a Wind Turbine Blade using Model Updating. Journal of Physics: Conference Series. 2018;1104:012030. Epub 2018 Nov 6. doi: 10.1088/1742-6596/1104/1/012030
Schröder, Karsten ; Grove, Saskia ; Tsiapoki, Stavroula et al. / Structural Change Identification at a Wind Turbine Blade using Model Updating. in: Journal of Physics: Conference Series. 2018 ; Jahrgang 1104.
Download
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AU - Tsiapoki, Stavroula

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