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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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NREL 5MW wind turbine blade and tower degradation

Authors: Abdallah, Imad;

NREL 5MW wind turbine blade and tower degradation

Abstract

Problem ➔Track the degradation of one rotor blade and tower base over over as 10 months period under wind inflow and operational uncertainties Scenario ➔Continuous wind turbine blade and tower stiffness degradation, emulating blade root delamination resulting in dynamic instability, leading to the tower base excess fatigue. Simulation environment and setup in FAST v8 : ➔In the blade input file: modify flap and edge stiffnesses in damage regions, blade root (only 1 in 3 blades is affected). Assumed equal degradation in both edgewise and flapwise directions ➔In the blade input file: modify mode shapes coefficients (1st flap, 2nd flap and 1st edge modes) ➔In the tower input file: modify FA and SS stiffnesses in damage regions, tower base ➔In the tower input file: modify mode shapes coefficients (1st & 2nd FA and 1st & 2nd SS modes) ➔Note that the tower degradation only "shows up" in the last 2 monitoring periods ➔In the turbulence input file: modify wind speed, tuburlence intensity, shear exponent, horizontal and vertical inflow angles. ➔Further complication by assuming that the average input environmental conditions are not stationary over the monitoring period, emulating seasonal variations. ➔This means 120 environmental samples (and consequenly input wind field time series) are sampled from different distributions each period during the degradation process

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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