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Dynamic response signatures of a scaled model platform for floating wind turbines in an ocean wave basin

机译:海浪盆地浮式风力发电机比例模型平台的动力响应特征

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摘要

Understanding of dynamic behaviour of offshore wind floating substructures is extremely important in relation to design, operation, maintenance and management of floating wind farms. This paper presents assessment of nonlinear signatures of dynamic responses of a scaled tension-leg platform (TLP) in a wave tank exposed to different regular wave conditions and sea states characterized by the Bretschneider, the Pierson–Moskowitz and the JONSWAP spectra. Dynamic responses of the TLP were monitored at different locations using load cells, a camera-based motion recognition system and a laser Doppler vibrometer. The analysis of variability of the TLP responses and statistical quantification of their linearity or nonlinearity, as non-destructive means of structural monitoring from the output-only condition, remains a challenging problem. In this study, the delay vector variance (DVV) method is used to statistically study the degree of nonlinearity of measured response signals from a TLP. DVV is observed to create a marker estimating the degree to which a change in signal nonlinearity reflects real-time behaviour of the structure and also to establish the sensitivity of the instruments employed to these changes. The findings can be helpful in establishing monitoring strategies and control strategies for undesirable levels or types of dynamic response and can help to better estimate changes in system characteristics over the life cycle of the structure.
机译:了解海上风电浮动子结构的动态行为对于浮动风电场的设计,运营,维护和管理非常重要。本文介绍了按比例缩放的拉力腿平台(TLP)在暴露于不同规则波浪条件和以Bretschneider,Pierson-Moskowitz和JONSWAP光谱为特征的海况的海况下的动态响应的非线性特征的评估。使用称重传感器,基于摄像头的运动识别系统和激光多普勒振动计在不同位置监视TLP的动态响应。作为仅从输出状态进行结构监视的非破坏性手段,TLP响应的变异性分析及其线性或非线性的统计量化仍然是一个具有挑战性的问题。在这项研究中,使用延迟向量方差(DVV)方法来统计地研究TLP测得的响应信号的非线性程度。可以观察到DVV可以创建一个标记,以估计信号非线性变化反映结构实时行为的程度,还可以确定所用仪器对这些变化的敏感性。这些发现有助于建立针对不良响应或类型的动态响应的监视策略和控制策略,并有助于更好地估计结构生命周期内系统特性的变化。

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