Preprints
https://doi.org/10.5194/wes-2021-125
https://doi.org/10.5194/wes-2021-125
 
08 Nov 2021
08 Nov 2021
Status: a revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

Damage Equivalent Load Synthesis and Stochastic Extrapolation for Fatigue Life Validation

Anand Natarajan Anand Natarajan
  • Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, Roskilde 4000, Denmark

Abstract. Present verification of the fatigue life margins on wind turbine structures utilizes damage equivalent load (DEL) computations over limited time duration. In this article, a procedure to determine long term fatigue damage and remaining life is presented as a combination of stochastic extrapolation of the 10-minute DEL to determine its probability of exceedance and through computationally fast synthesis of DELs using level-crossings of a Gaussian process. Both the synthesis of DELs and long-term stochastic extrapolation are validated using measured loads from a wind farm. The extrapolation for the blade root flap and tower base fore-aft damage equivalent moment is presented using a three-parameter Weibull distribution, whereby the long term damage equivalent load levels are forecast for both simulated and measured values. The damage equivalent load magnitude at a selected target probability of exceedance provides an indicator of the integrity of the structure for the next year. The extrapolated damage equivalent load over a year is validated using measured multi-year damage equivalent loads from a turbine in the Lillgrund wind farm, which is subject to wakes. The simulation of damage equivalent loads using the method of level crossings of a Gaussian process is shown to be able to reconstruct the damage equivalent load for both blade root and tower base moments. The prediction of the tower base fore-aft DEL is demonstrated to be feasible when using the Vanmarcke correction for very-narrow band processes. The combined method of fast damage equivalent load computations and stochastic extrapolation to the next year, allows a quick and accurate forecasting of structural integrity of operational wind turbines.

Anand Natarajan

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2021-125', Anonymous Referee #1, 12 Dec 2021
  • RC2: 'Comment on wes-2021-125', Anonymous Referee #2, 22 Dec 2021
  • AC1: 'Comment on wes-2021-125', Anand Natarajan, 06 Feb 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2021-125', Anonymous Referee #1, 12 Dec 2021
  • RC2: 'Comment on wes-2021-125', Anonymous Referee #2, 22 Dec 2021
  • AC1: 'Comment on wes-2021-125', Anand Natarajan, 06 Feb 2022

Anand Natarajan

Anand Natarajan

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Short summary
The article delineates a novel procedure to use 10-minute measurement statistics with few known parameters of the wind turbine to determine the long-term fatigue damage probability and compares this with theoretically expected levels to provide an indicator of structural reliability and remaining life. The results are validated with load measurements from a wind turbine inside an offshore wind farm.