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contributor authorIkeda, Takashi
contributor authorHarata, Yuji
contributor authorIshida, Yukio
date accessioned2019-02-28T11:11:48Z
date available2019-02-28T11:11:48Z
date copyright5/17/2018 12:00:00 AM
date issued2018
identifier issn1555-1415
identifier othercnd_013_07_071001.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253704
description abstractNonlinear vibration characteristics of three-blade wind turbines are theoretically investigated. The wind turbine is modeled as a coupled system, consisting of a flexible tower with two degrees-of-freedom (2DOF), and three blades, each with a single degree of freedom (SDOF). The blades are subjected to steady winds. The wind velocity increases proportionally with height due to vertical wind shear. The natural frequency diagram is calculated with respect to the rotational speed of the wind turbine. The corresponding linear system with parametric excitation terms is analyzed to determine the rotational speeds where unstable vibrations appear and to predict at what rotational speeds the blades may vibrate at high amplitudes in a real wind turbine. The frequency response curves are then obtained by applying the swept-sine test to the equations of motion for the nonlinear system. They exhibit softening behavior due to the nonlinear restoring moments acting on the blades. Stationary time histories and their fast Fourier transform (FFT) results are also calculated. In the numerical simulations, localization phenomena are observed, where the three blades vibrate at different amplitudes. Basins of attraction (BOAs) are also calculated to examine the influence of a disturbance on the appearance of localization phenomena.
publisherThe American Society of Mechanical Engineers (ASME)
titleParametric Instability and Localization of Vibrations in Three-Blade Wind Turbines
typeJournal Paper
journal volume13
journal issue7
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4039899
journal fristpage71001
journal lastpage071001-11
treeJournal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 007
contenttypeFulltext


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