Details
| Original language | English |
|---|---|
| Article number | 052027 |
| Number of pages | 10 |
| Journal | IOP Conference Series: Materials Science and Engineering |
| Volume | 2767 |
| Issue number | 5 |
| Publication status | Published - 10 Jun 2024 |
Abstract
ASJC Scopus subject areas
- Engineering(all)
- Building and Construction
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Computational Mechanics
Research Area (based on ÖFOS 2012)
- TECHNICAL SCIENCES
- Construction Engineering
- Civil Engineering
- Lightweight design
- TECHNICAL SCIENCES
- Construction Engineering
- Civil Engineering
- Computational engineering
- TECHNICAL SCIENCES
- Mechanical Engineering
- Mechanical Engineering
- Lightweight design
- TECHNICAL SCIENCES
- Mechanical Engineering
- Mechanical Engineering
- Computational engineering
Sustainable Development Goals
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In: IOP Conference Series: Materials Science and Engineering, Vol. 2767, No. 5, 052027, 10.06.2024.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Buckling behavior of rotor blade sandwich panels with spatially distributed material uncertainties
AU - Prigge, Felix
AU - Balzani, Claudio
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.
UR - http://www.scopus.com/inward/record.url?scp=85196557151&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2767/5/052027
DO - 10.1088/1742-6596/2767/5/052027
M3 - Conference article
VL - 2767
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
SN - 1757-8981
IS - 5
M1 - 052027
ER -