Buckling behavior of rotor blade sandwich panels with spatially distributed material uncertainties

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

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OriginalspracheEnglisch
Aufsatznummer052027
Seitenumfang10
FachzeitschriftIOP Conference Series: Materials Science and Engineering
Jahrgang2767
Ausgabenummer5
PublikationsstatusVeröffentlicht - 10 Juni 2024

Abstract

The study evaluates the impact of material uncertainties on the buckling behavior of sandwich panels in wind turbine rotor blades. The analysis is limited to linear buckling and is performed using stochastic finite element Monte Carlo simulation on a rectangular and flat submodel of the rotor blade's trailing edge panel. The finite element model of the panels is simply supported on all edges. To generate the spatial material property distributions, the Karhunen-Loève expansion is used in combination with Latin hypercube sampling. The results compare the effects of various correlation lengths of the spatial distributions. The buckling loads vary in correlation to the average panel stiffness caused by the random distributions. The spatial distribution has a less dominant effect, reducing the mean value of the buckling load results. The amount of reduction in buckling load is highest when the correlation length of the distribution is close to the harmonic half-wave of the dominant buckling shape.

ASJC Scopus Sachgebiete

Fachgebiet (basierend auf ÖFOS 2012)

Ziele für nachhaltige Entwicklung

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Buckling behavior of rotor blade sandwich panels with spatially distributed material uncertainties. / Prigge, Felix; Balzani, Claudio.
in: IOP Conference Series: Materials Science and Engineering, Jahrgang 2767, Nr. 5, 052027, 10.06.2024.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Prigge F, Balzani C. Buckling behavior of rotor blade sandwich panels with spatially distributed material uncertainties. IOP Conference Series: Materials Science and Engineering. 2024 Jun 10;2767(5):052027. doi: 10.1088/1742-6596/2767/5/052027
Prigge, Felix ; Balzani, Claudio. / Buckling behavior of rotor blade sandwich panels with spatially distributed material uncertainties. in: IOP Conference Series: Materials Science and Engineering. 2024 ; Jahrgang 2767, Nr. 5.
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abstract = "The study evaluates the impact of material uncertainties on the buckling behavior of sandwich panels in wind turbine rotor blades. The analysis is limited to linear buckling and is performed using stochastic finite element Monte Carlo simulation on a rectangular and flat submodel of the rotor blade's trailing edge panel. The finite element model of the panels is simply supported on all edges. To generate the spatial material property distributions, the Karhunen-Lo{\`e}ve expansion is used in combination with Latin hypercube sampling. The results compare the effects of various correlation lengths of the spatial distributions. The buckling loads vary in correlation to the average panel stiffness caused by the random distributions. The spatial distribution has a less dominant effect, reducing the mean value of the buckling load results. The amount of reduction in buckling load is highest when the correlation length of the distribution is close to the harmonic half-wave of the dominant buckling shape.",
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N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2024/6/10

Y1 - 2024/6/10

N2 - The study evaluates the impact of material uncertainties on the buckling behavior of sandwich panels in wind turbine rotor blades. The analysis is limited to linear buckling and is performed using stochastic finite element Monte Carlo simulation on a rectangular and flat submodel of the rotor blade's trailing edge panel. The finite element model of the panels is simply supported on all edges. To generate the spatial material property distributions, the Karhunen-Loève expansion is used in combination with Latin hypercube sampling. The results compare the effects of various correlation lengths of the spatial distributions. The buckling loads vary in correlation to the average panel stiffness caused by the random distributions. The spatial distribution has a less dominant effect, reducing the mean value of the buckling load results. The amount of reduction in buckling load is highest when the correlation length of the distribution is close to the harmonic half-wave of the dominant buckling shape.

AB - The study evaluates the impact of material uncertainties on the buckling behavior of sandwich panels in wind turbine rotor blades. The analysis is limited to linear buckling and is performed using stochastic finite element Monte Carlo simulation on a rectangular and flat submodel of the rotor blade's trailing edge panel. The finite element model of the panels is simply supported on all edges. To generate the spatial material property distributions, the Karhunen-Loève expansion is used in combination with Latin hypercube sampling. The results compare the effects of various correlation lengths of the spatial distributions. The buckling loads vary in correlation to the average panel stiffness caused by the random distributions. The spatial distribution has a less dominant effect, reducing the mean value of the buckling load results. The amount of reduction in buckling load is highest when the correlation length of the distribution is close to the harmonic half-wave of the dominant buckling shape.

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