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Reliability-based optimization of floating wind turbine support structures

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reliability-based optimization of floating wind turbine support structuresby Mareike Leimeister.
Author:	Leimeister, Mareike.
Published:	Cham :Springer International Publishing :2022.
Description:	xxxv, 308 p. :ill., digital ;24 cm.
Notes:	"Doctoral Thesis accepted by the University of Strathclyde, Glasgow, UK."
Contained By:	Springer Nature eBook
Subject:	Offshore wind power plantsDesign and construction.
Online resource:	https://doi.org/10.1007/978-3-030-96889-2
ISBN:	9783030968892$q(electronic bk.)

Reliability-based optimization of floating wind turbine support structures
Leimeister, Mareike.

Reliability-based optimization of floating wind turbine support structures[electronic resource] /by Mareike Leimeister. - Cham :Springer International Publishing :2022. - xxxv, 308 p. :ill., digital ;24 cm. - Springer theses,2190-5061. - Springer theses..

"Doctoral Thesis accepted by the University of Strathclyde, Glasgow, UK."

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.

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 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.

ISBN: 9783030968892$q(electronic bk.)

Standard No.: 10.1007/978-3-030-96889-2doiSubjects--Topical Terms:

940203
Offshore wind power plants
--Design and construction.

LC Class. No.: TJ820 / .L45 2022

Dewey Class. No.: 621.312136015118

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520 $a 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 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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