國立高雄大學圖資館 |

登入

回首頁

Reliability-based optimization of floating wind turbine support structures

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reliability-based optimization of floating wind turbine support structuresby Mareike Leimeister.
作者:	Leimeister, Mareike.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xxxv, 308 p. :ill., digital ;24 cm.
附註:	"Doctoral Thesis accepted by the University of Strathclyde, Glasgow, UK."
Contained By:	Springer Nature eBook
標題:	Offshore wind power plantsDesign and construction.
電子資源:	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

Reliability-based optimization of floating wind turbine support structures
LDR:02922nmm a2200349 a 4500 001 634042
003 DE-He213
005 20230101130040.0
006 m d
007 cr nn 008maaau
008 230511s2022 sz s 0 eng d
020 $a 9783030968892$q(electronic bk.)
020 $a 9783030968885$q(paper)
024 7 $a 10.1007/978-3-030-96889-2 $2 doi
035 $a 978-3-030-96889-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ820 $b .L45 2022
072 7 $a THX $2 bicssc
072 7 $a TEC031010 $2 bisacsh
072 7 $a THVW $2 thema
082 0 4 $a 621.312136015118 $2 23
090 $a TJ820 $b .L529 2022
100 1 $a Leimeister, Mareike. $3 940202
245 1 0 $a Reliability-based optimization of floating wind turbine support structures $h [electronic resource] / $c by Mareike Leimeister.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xxxv, 308 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5061
500 $a "Doctoral Thesis accepted by the University of Strathclyde, Glasgow, UK."
505 0 $a 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.
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.
650 0 $a Offshore wind power plants $x Design and construction. $3 940203
650 0 $a Offshore wind power plants $x Mathematical models. $3 940204
650 0 $a Mathematical optimization. $3 183292
650 0 $a Reliability (Engineering) $3 182677
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer theses. $3 557607
856 4 0 $u https://doi.org/10.1007/978-3-030-96889-2
950 $a Energy (SpringerNature-40367)