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Record Nr. |
UNINA9910637719203321 |
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Autore |
Leimeister Mareike |
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Titolo |
Reliability-based optimization of floating wind turbine support structures / / Mareike Leimeister |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2023] |
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©2023 |
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ISBN |
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9783030968892 |
9783030968885 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (336 pages) |
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Collana |
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Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5061 |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Offshore wind power plants - Law and legislation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Review of Reliability-Based Risk Analysis Methods Used in the Offshore Wind Industry -- Floating Offshore Wind Turbine Systems -- Modeling, Automated Simulation, and Optimization -- Design Optimization of FloatingWind Turbine Support Structures -- Reliability-Based Design Optimization of a Spar-Type FloatingWind Turbine Support Structure -- Discussion -- Conclusions. |
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Sommario/riassunto |
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This book pursues the ambitious goal of combining floating wind turbine design optimization and reliability assessment, which has in fact not been done before. The topic is organized into a series of very ambitious objectives, which start with an initial state-of-the-art review, followed by the development of high-fidelity frameworks for a disruptive way to design next generation floating offshore wind turbine (FOWT) support structures. The development of a verified aero-hydro-servo-elastic coupled numerical model of dynamics for FOWTs and a holistic framework for automated simulation and optimization of FOWT systems, which is later used for the coupling of design optimization with reliability assessment of FOWT systems in a computationally and time-efficient manner, has been an aim of many groups internationally towards implementing a performance-based/goal-setting approach in the design of complex engineering systems. The outcomes of this work |
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quantify the benefits of an optimal design with a lower mass while fulfilling design constraints. Illustrating that comprehensive design methods can be combined with reliability analysis and optimization algorithms towards an integrated reliability-based design optimization (RBDO) can benefit not only the offshore wind energy industry but also other applications such as, among others, civil infrastructure, aerospace, and automotive engineering. |
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