Dokument-ID Dokumenttyp Autoren/innen Persönliche Herausgeber/innen Haupttitel Abstract Auflage Verlagsort Verlag Herausgeber (Institution) Erscheinungsjahr Titel des übergeordneten Werkes Jahrgang/Band ISBN Veranstaltung Veranstaltungsort Beginndatum der Veranstaltung Enddatum der Veranstaltung Ausgabe/Heft Erste Seite Letzte Seite URN DOI Lizenz Datum der Freischaltung OPUS4-26358 Zeitschriftenartikel Thöns, Sebastian; Faber, M.H.; Rücker, Werner Ultimate limit state model basis for assessment of offshore wind energy converters This paper establishes the model basis regarding the ultimate limit state consisting of structural, loading, and probabilistic models of the support structure of offshore wind energy converters together with a sensitivity study. The model basis is part of a risk based assessment and monitoring framework and will be applied for establishing the 'as designed and constructed' reliability as prior information for the assessment and as a basis for designing a monitoring system. The model basis is derived considering the constitutive physical equations and the methodology of solving these which then in combination with the ultimate limit state requirements leads to the specific constitutive relations. As a result finite element models based on shell elements incorporating a structural and a loading model are introduced and described in detail. Applying these models the ultimate capacity of the support structure and the tripod structure are determined with a geometrically and materially nonlinear finite element analysis. The observed failure mechanisms are the basis for the definition of the ultimate limit state responses. A probabilistic model accounting for the uncertainties involved is derived on the basis of literature review and measurement data from a prototype Multibrid M5000 support structure. In combination with the developed structural and loading models, sensitivity analyses in regard to the responses are performed to enhance the understanding and to refine the developed models. To this end, as the developed models necessitate substantial numerical efforts for the probabilistic response analysis predetermined designs of numerical experiments are applied for the calculation of the sensitivities using the Spearman rank correlation coefficient. With this quantification of the sensitivity of the random variables on the responses including nonlinearity the refinement of the model is performed on a quantitative basis. Fairfield, NJ American Society of Mechanical Engineers (ASME) 2012 Journal of offshore mechanics and arctic engineering 134 3 031904-1 - 031904-9 10.1115/1.4004513 2016-02-19 OPUS4-26117 Beitrag zu einem Tagungsband Thöns, Sebastian; McMillan, D. Condition monitoring benefit for offshore wind turbines Istanbul technical university 2012 PMAPS 2012 - 12th International conference on Probabilistic Methods Applied to Power Systems (Proceedings) PMAPS 2012 - 12th International conference on Probabilistic Methods Applied to Power Systems Istanbul, Turkey 2012-06-10 2012-06-14 37 42 2016-02-19 OPUS4-31275 Beitrag zu einem Sammelband Thöns, Sebastian; McMillan, D. Karki, R.; Billinton, R.; Vermar, A.K. Condition monitoring benefit for operation support of offshore wind turbines As more offshore wind parks are commissioned, the focus will inevitably shift from a planning, construction, and warranty focus to an operation, maintenance, and investment payback focus. In this latter case, both short-term risks associated with wind turbine component assemblies, and long-term risks related to integrity of the support structure, are highly important. This research focuses on the role of condition monitoring to lower costs and risks associated with short-term reliability and long-term asset integrity. This enables comparative estimates of the life cycle costs and reduction in uncertainty, both of which are of value to investors. Springer 2014 Reliability modeling and analysis of smart power systems 978-81-322-1797-8 169 182 10.1007/978-81-322-1798-5_11 2016-02-20