Overview
- Combines floating wind turbine design optimization and reliability assessment
- Develops a robust aero-hydro-servo-elastic coupled numerical model of dynamics for offshore wind turbines
- Provides insight that can benefit offshore wind energy industry as well as civil infrastructure
Part of the book series: Springer Theses (Springer Theses)
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About this book
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.
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Table of contents (8 chapters)
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Front Matter
Authors and Affiliations
Bibliographic Information
Book Title: Reliability-Based Optimization of Floating Wind Turbine Support Structures
Authors: Mareike Leimeister
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-030-96889-2
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-96888-5Published: 02 January 2023
Softcover ISBN: 978-3-030-96891-5Published: 03 January 2024
eBook ISBN: 978-3-030-96889-2Published: 01 January 2023
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXXV, 308
Number of Illustrations: 9 b/w illustrations, 90 illustrations in colour
Topics: Renewable and Green Energy, Optimization, Mechanical Engineering