@inproceedings{b9e5c3251f2b430a8a12badd64ece675,
title = "Application of virtual sensing to enhance fatigue testing of a 70+ meters wind turbine blade",
abstract = "The study presents the results of the virtual sensing technique applied to the fatigue test of a 70+ meter wind turbine blade. To be certified, each new blade design must pass a full-scale fatigue test, when the blade experiences millions of oscillations in flapwise and edgewise directions. The bending moment is estimated from the measured strains and should satisfy the certification requirements. Virtual sensing is a technique that allows dynamic response estimation at any point of the vibrating structure. It is based on the data from a few vibration sensors and the numerical model of the structure. The method looks promising for the fatigue tests as it allows (i) full strain field estimation, (ii) reduction of the number of measurement points, and (iii) replacement of some strain gauges by easy-to-mount accelerometers.",
author = "D. Tcherniak and Nielsen, {S. K.} and {van Beveren}, {S. C.} and P. Berring and S. Semenov and K. Branner",
year = "2024",
language = "English",
isbn = "9082893177",
series = "Proceedings of Isma 2024 - International Conference on Noise and Vibration Engineering and Usd 2024 - International Conference on Uncertainty in Structural Dynamics",
pages = "4056--4069",
booktitle = "Proceedings of Isma 2024 - International Conference on Noise and Vibration Engineering and Usd 2024 - International Conference on Uncertainty in Structural Dynamics",
note = "2024 International Conference on Noise and Vibration Engineering ; Conference date: 09-09-2024 Through 11-09-2024",
}