Details
| Original language | English |
|---|---|
| Article number | 012007 |
| Journal | Journal of Physics: Conference Series |
| Volume | 2362 |
| Issue number | 1 |
| Publication status | Published - 2022 |
| Event | 19th EERA DeepWind Offshore Wind R and D Conference, DeepWind 2022 - Trondheim, Norway Duration: 19 Jan 2022 → 21 Jan 2022 |
Abstract
Recently, suction buckets have become a very prominent foundation for bottom fixed and floating offshore wind turbines. They are embedded with an installation force that stems from water evacuation inside the bucket. This internal negative pressure leads to a high risk of structural buckling. The buckling strength is significantly reduced by geometric imperfections. In previous work, equivalent geometric imperfection forms were introduced and the lower bound was evaluated. However, it has not yet been possible to identify a generally appropriate imperfection form. A probabilistic design approach based on realistic imperfections was not yet considered for suction buckets. Therefore, in this work, a stochastic modeling approach is introduced, which bases on measured data. The imperfection is decomposed to the half-wave cosine Fourier representation. Realizations of the imperfection pattern are generated by filtering white noise with the amplitude spectrum. They are then applied as out of plane deviations on a geometrically and materially nonlinear finite element model and evaluated. The resulting buckling pressure distribution can then be evaluated for different reliability levels. By considering more realistic imperfections and a plastic soil model, the buckling pressure increases by up to a factor of two compared to the conservative stress-based buckling approach.
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In: Journal of Physics: Conference Series, Vol. 2362, No. 1, 012007, 2022.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Stochastic modeling of geometric imperfections for buckling analysis of suction buckets
AU - Böhm, M.
AU - Schaumann, P.
N1 - Funding Information: The work presented in this contribution was carried out within the joint project ProBucket. The authors kindly acknowledge the financial support provided by the German Federal Ministry of Economic Affairs and Climate Action (FKZ 03EE3033B). The technical support provided by the project partners is also gratefully acknowledged.
PY - 2022
Y1 - 2022
N2 - Recently, suction buckets have become a very prominent foundation for bottom fixed and floating offshore wind turbines. They are embedded with an installation force that stems from water evacuation inside the bucket. This internal negative pressure leads to a high risk of structural buckling. The buckling strength is significantly reduced by geometric imperfections. In previous work, equivalent geometric imperfection forms were introduced and the lower bound was evaluated. However, it has not yet been possible to identify a generally appropriate imperfection form. A probabilistic design approach based on realistic imperfections was not yet considered for suction buckets. Therefore, in this work, a stochastic modeling approach is introduced, which bases on measured data. The imperfection is decomposed to the half-wave cosine Fourier representation. Realizations of the imperfection pattern are generated by filtering white noise with the amplitude spectrum. They are then applied as out of plane deviations on a geometrically and materially nonlinear finite element model and evaluated. The resulting buckling pressure distribution can then be evaluated for different reliability levels. By considering more realistic imperfections and a plastic soil model, the buckling pressure increases by up to a factor of two compared to the conservative stress-based buckling approach.
AB - Recently, suction buckets have become a very prominent foundation for bottom fixed and floating offshore wind turbines. They are embedded with an installation force that stems from water evacuation inside the bucket. This internal negative pressure leads to a high risk of structural buckling. The buckling strength is significantly reduced by geometric imperfections. In previous work, equivalent geometric imperfection forms were introduced and the lower bound was evaluated. However, it has not yet been possible to identify a generally appropriate imperfection form. A probabilistic design approach based on realistic imperfections was not yet considered for suction buckets. Therefore, in this work, a stochastic modeling approach is introduced, which bases on measured data. The imperfection is decomposed to the half-wave cosine Fourier representation. Realizations of the imperfection pattern are generated by filtering white noise with the amplitude spectrum. They are then applied as out of plane deviations on a geometrically and materially nonlinear finite element model and evaluated. The resulting buckling pressure distribution can then be evaluated for different reliability levels. By considering more realistic imperfections and a plastic soil model, the buckling pressure increases by up to a factor of two compared to the conservative stress-based buckling approach.
UR - http://www.scopus.com/inward/record.url?scp=85142489957&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2362/1/012007
DO - 10.1088/1742-6596/2362/1/012007
M3 - Conference article
AN - SCOPUS:85142489957
VL - 2362
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012007
T2 - 19th EERA DeepWind Offshore Wind R and D Conference, DeepWind 2022
Y2 - 19 January 2022 through 21 January 2022
ER -