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Reliability-based design optimization of a spar-type floating offshore wind turbine support structure

机译:基于可靠性的浮动近海风力涡轮机支撑结构的设计优化

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The application of reliability-based design optimization (RBDO) methods to offshore wind turbine systems is highly relevant regarding economic efficiency and for considering prevailing uncertainties within the design process. Furthermore, RBDO is a very promising approach in optimizing systems when classification and standardization are not fully available. The level of difficulty of design optimization already increases when including the reliability aspect, but becomes even more challenging when dealing with the highly complex system of floating wind turbines (FWTs), which has not yet been applied. Thus, this paper presents for the first time an integrated framework for RBDO of FWTs, combining concepts of optimization with reliability-based design and advanced modeling, requiring reasonable computational effort and time expenditure. In preprocessing, environmental conditions, limit states, and uncertainties are specified, an appropriate reliability assessment approach is elaborated, and response surfaces for various system geometries in the optimization design space are generated ahead of the RBDO execution. These are finally used by means of an interpolation approach for the reliability calculation integrated in the iterative design optimization. On the example of a spar-buoy FWT system, the application of the presented methodology and the feasibility of coupling FWT design optimization with reliability assessment are shown.
机译:基于可靠性的设计优化(RBDO)方法在海上风力涡轮机系统中的应用是对经济效率的高度相关,并考虑设计过程中的普遍不确定性。此外,RBDO是一种非常有希望的方法,可以在分类和标准化不完全可用时优化系统。当包括可靠性方面时,设计优化的难度水平已经增加,但是在处理尚未应用的浮动风力涡轮机(FWT)的高度复杂系统时变得更具挑战性。因此,本文首次介绍了FWT的RBDO综合框架,将优化概念与基于可靠性的设计和先进建模相结合,需要合理的计算工作和时间支出。在预处理,环境条件下,限制状态和不确定性方面,详细阐述了适当的可靠性评估方法,并且在RBDO执行之前产生了优化设计空间中各种系统几何形状的响应曲面。这些最终通过用于在迭代设计优化中集成的可靠性计算的插值方法使用。在SPAR-BEOY FWT系统的示例中,显示了所提出的方法的应用以及通过可靠性评估耦合FWT设计优化的可行性。

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