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A two-step approach to damage localization at supporting structures of offshore wind turbines

机译：采用两步法在海上风力发电机的支撑结构处进行损伤定位

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This article introduces a new adaptive two-step optimization algorithm for finite element model updating with special emphasis on damage localization at supporting structures of offshore wind turbines. The algorithm comprises an enhanced version of the global optimization algorithm simulated annealing, the simulated quenching method that approximates an initial guess of damage localization. Subsequently, sequential quadratic programming is used to compute the final solution adaptively. For the correlation of numerical model and measurement data, both a measure based on eigenfrequencies and mode shapes and a measure employing time series are implemented and compared with respect to their performance for damage localization. Phase balance of the time signals is achieved using cross-correlation. The localization problem is stated as a minimization problem in which the measures are used in time and modal domain as the objective function subject to constraints. Furthermore, the objective function value of the adjusted model is used to distinguish correct from wrong solutions. The functionality is proven using a numerical model of a monopile structure with simulated damage and a lab-scaled model of a tripile structure with real damage.
机译：本文介绍了一种新的自适应两步优化算法，用于有限元模型更新，特别着重于海上风力涡轮机支撑结构的损伤定位。该算法包括全局优化算法模拟退火的增强版本，模拟退火是近似模拟损伤定位的初始淬火方法。随后，使用顺序二次编程来自适应地计算最终解。对于数值模型和测量数据的相关性，既要实施基于特征频率和模态的措施，又要采用采用时间序列的措施，并就其在损伤定位方面的性能进行比较。时间信号的相位平衡通过互相关来实现。定位问题被描述为最小化问题，其中在时域和模态域中将度量用作受约束的目标函数。此外，调整后的模型的目标函数值用于区分正确解与错误解。使用具有模拟损坏的单桩结构的数值模型和具有实际损坏的三重结构的实验室规模模型证明了该功能。

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