Welkom op het expertplatform!
Dit platform verschaft informatie en kennis omtrent de WL expertisedomeinen 'hydraulica en sediment', 'havens en waterwegen', 'waterbouwkundige constructies', 'waterbeheer' en 'kustbescherming' - gaande van WL medewerkers met hun expertise, het curriculum van deze instelling, tot publicaties, projecten, data (op termijn) en evenementen waarin het WL betrokken is.
Het WL onderschrijft het belang van "open access" voor de ontsluiting van haar onderzoeksresultaten. Lees er meer over in ons openaccessbeleid.
| one publication added to basket [338132] |
Validation of virtual sensing on subsoil strain data of an offshore wind turbine
Henkel, M.; Weijtjens, W.; Devriendt, C. (2019). Validation of virtual sensing on subsoil strain data of an offshore wind turbine, in: Amador, S.D.R. et al. 8th International Operational Modal Analysis Conference (IOMAC 2019). pp. 765-774
In: Amador, S.D.R. et al. (2019). 8th International Operational Modal Analysis Conference (IOMAC 2019). International Operational Modal Analysis Conference ( IOMAC ): Gijón. ISBN 9781510888333. 778 pp.
|
| Beschikbaar in | Auteurs |
|
Documenttype: Congresbijdrage
|
| Trefwoord |
|
| Author keywords |
Virtual Sensing; Fatigue Estimation; Measurement Data; Offshore Wind |
| Auteurs | | Top |
- Henkel, M.
- Weijtjens, W.
- Devriendt, C.
|
|
|
| Abstract |
Fatigue is the main design driver for offshore wind turbines on monopile foundations. With the first generation of farms reaching their design life structural reserves become apparent. Monitoring of the periodic strains at critical locations enables to assess the remaining useful lifetime. Typically, welded connections beneath the sea bed are determining the lifetime of the entire structure. Since no direct method e.g. visual inspection is feasible to analyze damage progress at these locations estimation methods are applied. Three turbines of the Belgian offshore wind farm Nobelwind were equipped with optical fiber strain gauges over the entire foundation length and with accelerometers on the turbine tower. In this contribution, a modal expansion algorithm is selected to reconstruct subsoil strain from accelerations measured on the tower. Within a short-term analysis strain estimations are validated against measurement data on submerged sensors and fatigue assessment is done on the validated data. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
