Meta-models for fatigue damage estimation of offshore wind turbines jacket substructures

Zur Kurzanzeige

dc.identifier.uri http://dx.doi.org/10.15488/2105
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/2130
dc.contributor.author Brandt, Sebastian
dc.contributor.author Broggi, Matteo
dc.contributor.author Hafele, Jan
dc.contributor.author Gebhardt, Cristian Guillermo
dc.contributor.author Rolfes, Raimund
dc.contributor.author Beer, Michael
dc.date.accessioned 2017-10-24T08:25:13Z
dc.date.available 2017-10-24T08:25:13Z
dc.date.issued 2017
dc.identifier.citation Brandt, S.; Broggi, M.; Hafele, J.; Guillermo, Gebhardt, C. et al.: Meta-models for fatigue damage estimation of offshore wind turbines jacket substructures. In: Procedia Engineering 199 (2017), S. 1158-1163. DOI: https://doi.org/10.1016/j.proeng.2017.09.292
dc.description.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. © 2017 The Authors. Published by Elsevier Ltd. eng
dc.language.iso eng
dc.publisher London : Elsevier Ltd.
dc.relation.ispartofseries Procedia Engineering 199 (2017)
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject extreme loads eng
dc.subject fatigue eng
dc.subject imprecise probability eng
dc.subject offshore wind turbine eng
dc.subject reliability eng
dc.subject robust optimization eng
dc.subject Environmental impact eng
dc.subject Fatigue damage eng
dc.subject Fatigue of materials eng
dc.subject Interpolation eng
dc.subject Optimization eng
dc.subject Reliability eng
dc.subject Structural dynamics eng
dc.subject Wind turbines eng
dc.subject Extreme loads eng
dc.subject Fatigue damage estimation eng
dc.subject Fatigue life evaluation eng
dc.subject Imprecise probabilities eng
dc.subject Reliability based design eng
dc.subject Robust optimization eng
dc.subject Simulation-based optimizations eng
dc.subject Structural component eng
dc.subject Offshore wind turbines eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 600 | Technik ger
dc.title Meta-models for fatigue damage estimation of offshore wind turbines jacket substructures
dc.type Article
dc.type Text
dc.relation.issn 1877-7058
dc.relation.doi https://doi.org/10.1016/j.proeng.2017.09.292
dc.bibliographicCitation.volume 199
dc.bibliographicCitation.firstPage 1158
dc.bibliographicCitation.lastPage 1163
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


Die folgenden Lizenzbestimmungen sind mit dieser Ressource verbunden:

Die Publikation erscheint in Sammlung(en):

Zur Kurzanzeige

 

Suche im Repositorium


Durchblättern

Mein Nutzer/innenkonto

Nutzungsstatistiken