Damage identification on a large-scale wind turbine rotor blade using sample-based deterministic model updating

Wolniak, Marlene; Ragnitz, Jasper; Jonscher, Clemens; Hofmeister, Benedikt; Jauken, Helge; Hübler, Clemens; Rolfes, Raimund

doi:10.5194/wes-11-1227-2026

Articles | Volume 11, issue 4

https://doi.org/10.5194/wes-11-1227-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-11-1227-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 4

Research article

|

15 Apr 2026

Research article |

| 15 Apr 2026

Damage identification on a large-scale wind turbine rotor blade using sample-based deterministic model updating

Marlene Wolniak, Jasper Ragnitz, Clemens Jonscher, Benedikt Hofmeister, Helge Jauken, Clemens Hübler, and Raimund Rolfes

Data sets

Measurement data and BayOMA identification results of a 31 m wind turbine rotor blade Marlene Wolniak et al. https://doi.org/10.25835/UWRCESYR

Short summary

This study investigates how finite-element (FE) models of different fidelity affect the damage identification in a 31 m wind turbine rotor blade tested under edgewise fatigue loading. Different design variable configurations are compared, whereby the FE model updating is based on modal parameters identified from measured vibration data.