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- W4313372732 abstract "The presented research content, developed methodologies, applied approaches, and obtained results are recapitulated and discussed in this chapter. This includes the benefit of reliability-based design optimization methods to account for uncertainties, but also their drawback of requiring high computational effort, both substantiated by reviewed literature and gained experience within this research work. Furthermore, the problem of missing or incomplete data is not only prevalent for reliability assessments but also for validation of numerical models. When it comes to automation of simulations and execution of optimization tasks, the relevance of sensitivity studies and careful selection of optimization settings for any specific problem and considered system is elaborated. Aside from that, for the definition of the (reliability-based) design optimization problem, the considered environmental condition(s), design variables and optimization objectives, allowable value ranges and constraints, validity of implemented theories, and detail of analyses must all be chosen consistently and thoughtfully. Cost-efficient realization of complex reliability-based design optimization tasks on floating wind turbine systems can happen through both an elaborated and structured approach, as developed and proposed in this research thesis, and a careful selection of the optimization settings, as already mentioned, and by being open to technological innovations—as addressed as well in this research work when designing an advanced spar-type floating support structure." @default.
- W4313372732 created "2023-01-06" @default.
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- W4313372732 date "2022-01-01" @default.
- W4313372732 modified "2023-10-16" @default.
- W4313372732 title "Discussion" @default.
- W4313372732 doi "https://doi.org/10.1007/978-3-030-96889-2_7" @default.
- W4313372732 hasPublicationYear "2022" @default.
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