کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6765943 | 512443 | 2016 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modal-based damage identification for the nonlinear model of modern wind turbine blade
ترجمه فارسی عنوان
شناسایی آلودگی مبتنی بر مودال برای مدل غیر خطی تیغه توربین بادی جدید
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کلمات کلیدی
شاخص های مبتنی بر مودال، شناسایی خسارت، تیغه توربین بادی، غیر خطی هندسی، انرژی مودال فشار، بارگذاری عملیاتی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
In this paper, the modal-based indices are used in damage identification of the wind turbine blade. In contrast of many of previous researches, the geometric nonlinearity due to the large structural deformation of the modern wind turbines blade is considered. In the first step, the finite element model (FEM) of the rotating blade is solved to obtain the modal features of the deformed structure under operational aerodynamic loading. Next, the accuracy and efficiency of the various modal-based damage indices including the frequency, mode shape, curvature of mode shape, modal assurance, modal strain energy (MSE) and the difference of indices (between the intact and damaged blades) are investigated. To adapt the MSE index calculation in nonlinear modeling, a new approach is introduced to include the effects of the structural nonlinearity. Furthermore, the effect of the damage length, its location and severity and also the effect of rotational speed and amplitude of loading are studied. The generic 5-MW NREL blade is used for the simulation study. The results show enough sensitivity of the mode shape curvature and MSE indices to the local damages. Moreover, the importance of geometric nonlinearity in the damage detection of the modern wind turbines is demonstrated.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 94, August 2016, Pages 391-409
Journal: Renewable Energy - Volume 94, August 2016, Pages 391-409
نویسندگان
Mohammad M. Rezaei, Mehdi Behzad, Hamed Moradi, Hassan Haddadpour,