LEADER 03581nam 2200493 450 001 9910637719203321 005 20230507122109.0 010 $a9783030968892$b(electronic bk.) 010 $z9783030968885 024 7 $a10.1007/978-3-030-96889-2 035 $a(MiAaPQ)EBC7167808 035 $a(Au-PeEL)EBL7167808 035 $a(CKB)25936409100041 035 $a(DE-He213)978-3-030-96889-2 035 $a(PPN)267808402 035 $a(EXLCZ)9925936409100041 100 $a20230507d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aReliability-based optimization of floating wind turbine support structures /$fMareike Leimeister 205 $a1st ed. 2022. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (336 pages) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5061 311 08$aPrint version: Leimeister, Mareike Reliability-Based Optimization of Floating Wind Turbine Support Structures Cham : Springer International Publishing AG,c2023 9783030968885 327 $aIntroduction -- 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. 330 $aThis book pursues the ambitious goal of combining floating wind turbine design optimization and reliability assessment, which has in fact not been done before. The topic is organized into a series of very ambitious objectives, which start with an initial state-of-the-art review, followed by the development of high-fidelity frameworks for a disruptive way to design next generation floating offshore wind turbine (FOWT) support structures. The development of a verified aero-hydro-servo-elastic coupled numerical model of dynamics for FOWTs and a holistic framework for automated simulation and optimization of FOWT systems, which is later used for the coupling of design optimization with reliability assessment of FOWT systems in a computationally and time-efficient manner, has been an aim of many groups internationally towards implementing a performance-based/goal-setting approach in the design of complex engineering systems. The outcomes of this work quantify the benefits of an optimal design with a lower mass while fulfilling design constraints. Illustrating that comprehensive design methods can be combined with reliability analysis and optimization algorithms towards an integrated reliability-based design optimization (RBDO) can benefit not only the offshore wind energy industry but also other applications such as, among others, civil infrastructure, aerospace, and automotive engineering. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5061 606 $aMathematical optimization 606 $aOffshore wind power plants$xLaw and legislation 615 0$aMathematical optimization. 615 0$aOffshore wind power plants$xLaw and legislation. 676 $a016.5192 700 $aLeimeister$b Mareike$01274460 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910637719203321 996 $aReliability-Based Optimization of Floating Wind Turbine Support Structures$93003134 997 $aUNINA