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Local structural dynamics identification in offshore wind turbines based on experimental data

机译:基于实验数据的海上风力涡轮机的局部结构动力学

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Standard approaches to determine stress in structural components typically use geometrically detailed FEM models including the effect of external loads. Loads are provided by aero-hydro-servo-elastic models, which are geometrically simplified to account for global modes and most relevant non-linarites. However, a common approach for component FEM models assumes a linear and quasi-static w.r.t. global system dynamics. Therefore, actual non-neglectible effects such as local dynamics or local non-linearities are not considered during the structural design process. The present study aims to establish a methodology to study whether those effects are present or not in real prototypes. Each new Wind Turbine design is validated by means of a real prototype. There, main parameters affecting it's performance are monitored; strain gages are installed in main sections to characterize reaction loads; and numerically detected critical positions are also instrumented in order to characterize their stress. Here, we propose a methodology in which dynamic stochastic models are used in order to model experimental time-series data of the structural system. For this purpose models such as ARMAX and BJ are used. The local modal parameters (natural frequencies, damping ratios and mode shapes) are identified and structural frequency response function (FRF) is reproduced. The methodology has been first validated successfully by a synthetic model under different noise levels than has been applied to experimental data from a 6MW Wind Turbine Prototype under different meteorological conditions. Similar modal parameters are identified.
机译:确定结构部件中应力的标准方法通常使用几何细节,包括外部载荷的效果。负载由Aero-Hydro-Servo-Elastic型号提供,这些模型是几何上简化的,以考虑全球模式和最相关的非Linarites。然而,组件FEM模型的常见方法假设线性和准静态W.R.T.全局系统动态。因此,在结构设计过程中,不考虑实际的不忽视诸如局部动态或局部非线性的效果。本研究旨在建立一种方法来研究这些效果是否存在于真实原型。每个新的风力涡轮机设计通过真正的原型验证。在那里,监测影响它性能的主要参数;应变计安装在主要部分中以表征反应载荷;在数值检测的关键位置也被仪表化,以表征其应力。这里,我们提出了一种方法,其中使用动态随机模型来模拟结构系统的实验时间序列数据。对于此目的模型,例如ARMAX和BJ。识别局部模态参数(自然频率,阻尼比和模式形状),并再现结构频率响应函数(FRF)。在不同的噪声水平下,通过合成模型成功验证了该方法,而不是在不同气象条件下应用于来自6MW风力涡轮机原型的实验数据。识别了类似的模态参数。

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