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Reliability-Based Optimization of Floating Wind Turbine Support Structures 2022 ed. [Pehme köide]

  • Formaat: Paperback / softback, 308 pages, kõrgus x laius: 235x155 mm, kaal: 528 g, 90 Illustrations, color; 9 Illustrations, black and white; XXXV, 308 p. 99 illus., 90 illus. in color., 1 Paperback / softback
  • Sari: Springer Theses
  • Ilmumisaeg: 03-Jan-2024
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303096891X
  • ISBN-13: 9783030968915
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  • Formaat: Paperback / softback, 308 pages, kõrgus x laius: 235x155 mm, kaal: 528 g, 90 Illustrations, color; 9 Illustrations, black and white; XXXV, 308 p. 99 illus., 90 illus. in color., 1 Paperback / softback
  • Sari: Springer Theses
  • Ilmumisaeg: 03-Jan-2024
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303096891X
  • ISBN-13: 9783030968915
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 quantify the benefits of an optimaldesign 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.
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.