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RELIABILITY ANALYSIS OF OFFSHORE WIND TURBINES USING COPULA

机译:基于Copula的海上风轮机可靠性分析

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Offshore structures are subject to severe environmental conditions and require high operating and maintenance costs. At the design stage of an offshore structure, it is necessary to perform load analysis and to consider representative environmental conditions characterized by statistical models. However, many available joint distribution models of the environmental parameters can only describe the correlation of these parameters in a very restricted form. The use of simple probabilistic models without correctly addressing their correlation may lead to significant bias in the reliability analysis. Here, the correlation between three offshore environmental parameters including the significant wave height, wave peak period, and mean wind speed is described by copula. The copula density functions and theoretical derivations of copula correlation parameters using actual sea state data are provided for general applications of reliability analysis of offshore structures. Hindcast data of two representative sites are used to fit the best copula. The developed copula-based joint distribution can be used for accurate reliability analysis of offshore structures considering long-term fatigue loads and extreme responses.
机译:近海结构要经受严酷的环境条件,并需要高昂的运营和维护成本。在海上结构的设计阶段,有必要进行载荷分析并考虑以统计模型为特征的代表性环境条件。但是,许多可用的环境参数联合分布模型只能以非常严格的形式描述这些参数的相互关系。使用简单的概率模型而未正确解决它们之间的相关性可能会导致可靠性分析中的重大偏差。在这里,用copula描述了三个海上环境参数之间的相关性,包括重要的波高,波峰周期和平均风速。使用实际海况数据提供了系密度函数和系相关参数的理论推导,用于海上结构可靠性分析的一般应用。两个代表性站点的后播数据用于拟合最佳copula。考虑到长期疲劳载荷和极端响应,开发的基于copula的联合分布可用于海上结构的精确可靠性分析。

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