Using incomplete complex modes for model updating of monopiled offshore wind turbines

Shuai Cong, Sau-Lon James Hu and Hua-Jun Li

Renewable Energy, 2022, vol. 181, issue C, 522-534

Abstract: The soil-structure interface stiffness/damping, structure damping, aerodynamic damping, and hydrodynamic added mass are the four major sources of error while modeling a monopiled offshore wind turbine by using finite element methods. This study develops a comprehensive strategy, involving optimal sensor placement, complex mode expansion, and cross-model cross-mode-based model updating technique, for simultaneously correcting the model parameters associated with the mentioned four major sources of error, when only a few sensors are installed to extract modal data, including modal frequencies and damping ratios, and spatially incomplete mode shapes. To demonstrate the effectiveness of the proposed method, computer simulations with the National Renewable Energy Laboratory 5-MW reference turbine are carried out. The numerical studies reveal that (1) when clean modal data are utilized, all model parameters can be updated properly by the proposed method; it is recommended the first few low-order modes, together with as many sensors as possible, be used; (2) when contaminated spatially incomplete complex eigenvectors are given, even some model parameters can not be updated accurately, the updated model is still adequate for dynamic analysis and design as long as the dominant model parameters are updated properly.

Keywords: Offshore wind turbines; Model updating; Spatial incompleteness; Complex modes (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:181:y:2022:i:c:p:522-534

DOI: 10.1016/j.renene.2021.09.022

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