2017
DOI: 10.1016/j.oceaneng.2017.06.005
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Buffeting response analysis of offshore wind turbines subjected to hurricanes

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Cited by 27 publications
(7 citation statements)
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“…The Hs and Tp values are associated with extreme sea-states and were numerically scaled considering the linear wave theory. Reported ocean current and wind velocities during extreme events were taken from the literature [52,53]. A value of 10 cm/s was set for the experiment in order to avoid hydrodynamic reflection by the channel's walls and for protecting the integrity of the floating structure.…”
Section: Doe-anovamentioning
confidence: 99%
“…The Hs and Tp values are associated with extreme sea-states and were numerically scaled considering the linear wave theory. Reported ocean current and wind velocities during extreme events were taken from the literature [52,53]. A value of 10 cm/s was set for the experiment in order to avoid hydrodynamic reflection by the channel's walls and for protecting the integrity of the floating structure.…”
Section: Doe-anovamentioning
confidence: 99%
“…The analyses founded that the sector where the valves are accommodated to the cylinder head, which are exposed to high temperatures during engine operation, are the critical areas prompt to LCF. Amirinia and Sungmoon Jung [2017] studied the buffeting response from three hurricane turbulence models which generated LCF damage in turbine tip blade and tower, this work is described in section four. Hamidi Ghaleh Jigh et al [2019] studied an aluminum foam subjected to compression by means of the finite element method using representative volumetric elements, together with the above, a series of experiments were carried out applying static loads that caused localized plastic deformation, which leads to low cycle fatigue.…”
Section: Research Related To Low Cycle Fatigue -Lcfmentioning
confidence: 99%
“…Here, according to Simiu and Scanlan and Amirinia and Jung, a = 200, b = 50, f is the normalized frequency, u * is the friction velocity, and n is the frequency. The far field‐generated wind velocity spectrum versus the Kaimal spectrum and a sample of the time history of the mean‐removed wind velocity is shown in Figure .…”
Section: Excitation Loadsmentioning
confidence: 99%