Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1158-1163 |
| Seitenumfang | 6 |
| Fachzeitschrift | Procedia Engineering |
| Jahrgang | 199 |
| Publikationsstatus | Veröffentlicht - 12 Sept. 2017 |
| Veranstaltung | 10th International Conference on Structural Dynamics, EURODYN 2017 - Rome, Italien Dauer: 10 Sept. 2017 → 13 Sept. 2017 |
Abstract
One of the main structural components of offshore wind turbines is the substructure which bridges the gap between seabed and tower foot. One possible concept employed in intermediate water depths for turbines with high-rated power is the jacket. This structure is excited by several environmental impacts like wind and wave loads or centrifugal loads from the rotor motion. In order to reach competitive costs of energy, it is crucial to minimize the lifetime capital expenses by means of robust and reliability-based design. However, a simulation-based optimization approach on the full scale model requires high numerical capacity. In this work, the problem of numerically expensive fatigue life evaluation is addressed by the utilization of a meta-model approach. The performance of two meta-models solutions, namely Kriging and Interval Predictor Model, is compared. In particular, the different behavior of the probabilistic confidence intervals of the Kriging regression and the interval bounds of the IPM is discussed.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Allgemeiner Maschinenbau
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
in: Procedia Engineering, Jahrgang 199, 12.09.2017, S. 1158-1163.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Meta-models for fatigue damage estimation of offshore wind turbines jacket substructures
AU - Brandt, Sebastian
AU - Broggi, Matteo
AU - Hafele, Jan
AU - Guillermo Gebhardt, Cristian
AU - Rolfes, Raimund
AU - Beer, Michael
N1 - Funding information: This work was supported by the compute cluster which is funded by the Leibniz Universität Hannover, the Lower Saxony Ministry of Science and Culture (MWK), and the German Research Foundation (DFG). We gratefully acknowledge the financial support of the German Federal Ministry for Economic Affairs and Energy (research project Gigawind life, FKZ 0325575A) and the Lower Saxony Ministry of Science and Culture (research project ventus efficiens, FKZ ZN3024) that enabled this work.
PY - 2017/9/12
Y1 - 2017/9/12
N2 - One of the main structural components of offshore wind turbines is the substructure which bridges the gap between seabed and tower foot. One possible concept employed in intermediate water depths for turbines with high-rated power is the jacket. This structure is excited by several environmental impacts like wind and wave loads or centrifugal loads from the rotor motion. In order to reach competitive costs of energy, it is crucial to minimize the lifetime capital expenses by means of robust and reliability-based design. However, a simulation-based optimization approach on the full scale model requires high numerical capacity. In this work, the problem of numerically expensive fatigue life evaluation is addressed by the utilization of a meta-model approach. The performance of two meta-models solutions, namely Kriging and Interval Predictor Model, is compared. In particular, the different behavior of the probabilistic confidence intervals of the Kriging regression and the interval bounds of the IPM is discussed.
AB - One of the main structural components of offshore wind turbines is the substructure which bridges the gap between seabed and tower foot. One possible concept employed in intermediate water depths for turbines with high-rated power is the jacket. This structure is excited by several environmental impacts like wind and wave loads or centrifugal loads from the rotor motion. In order to reach competitive costs of energy, it is crucial to minimize the lifetime capital expenses by means of robust and reliability-based design. However, a simulation-based optimization approach on the full scale model requires high numerical capacity. In this work, the problem of numerically expensive fatigue life evaluation is addressed by the utilization of a meta-model approach. The performance of two meta-models solutions, namely Kriging and Interval Predictor Model, is compared. In particular, the different behavior of the probabilistic confidence intervals of the Kriging regression and the interval bounds of the IPM is discussed.
KW - extreme loads
KW - fatigue
KW - imprecise probability
KW - offshore wind turbine
KW - reliability
KW - robust optimization
UR - http://www.scopus.com/inward/record.url?scp=85029903140&partnerID=8YFLogxK
U2 - 10.1016/j.proeng.2017.09.292
DO - 10.1016/j.proeng.2017.09.292
M3 - Conference article
AN - SCOPUS:85029903140
VL - 199
SP - 1158
EP - 1163
JO - Procedia Engineering
JF - Procedia Engineering
SN - 1877-7058
T2 - 10th International Conference on Structural Dynamics, EURODYN 2017
Y2 - 10 September 2017 through 13 September 2017
ER -