Structural health monitoring challenges on the 10-MW offshore wind turbine model
Di Lorenzo, E.; Kosova, G.; Musella, U.; Manzato, S.; Peeters, B.; Marulo, F.; Desmet, W. (2015). Structural health monitoring challenges on the 10-MW offshore wind turbine model. Journal of Physics: Conference Series 628: 8. https://dx.doi.org/10.1088/1742-6596/628/1/012081
In: Journal of Physics: Conference Series. IOP Publishing: Bristol. ISSN 1742-6588; e-ISSN 1742-6596, meer
|   |
| Auteurs | | Top |
- Di Lorenzo, E.
- Kosova, G.
- Musella, U.
- Manzato, S.
|
- Peeters, B.
- Marulo, F.
- Desmet, W., meer
|
|
| Abstract |
The real-time structural damage detection on large slender structures has one of its main application on offshore Horizontal Axis Wind Turbines (HAWT). The renewable energy market is continuously pushing the wind turbine sizes and performances. This is the reason why nowadays offshore wind turbines concepts are going toward a 10 MW reference wind turbine model. The aim of the work is to perform operational analyses on the 10-MW reference wind turbine finite element model using an aeroelastic code in order to obtain long-time-low-cost simulations. The aeroelastic code allows simulating the damages in several ways: by reducing the edgewise/flapwise blades stiffness, by adding lumped masses or considering a progressive mass addiction (i.e. ice on the blades). The damage detection is then performed by means of Operational Modal Analysis (OMA) techniques. Virtual accelerometers are placed in order to simulate real measurements and to estimate the modal parameters. The feasibility of a robust damage detection on the model has been performed on the HAWT model in parked conditions. The situation is much more complicated in case of operating wind turbines because the time periodicity of the structure need to be taken into account. Several algorithms have been implemented and tested in the simulation environment. They are needed in order to carry on a damage detection simulation campaign and develop a feasible real-time damage detection method. In addition to these algorithms, harmonic removal tools are needed in order to dispose of the harmonics due to the rotation. |
|
