Fatigue assessment of offshore wind turbines on monopile foundations using multi‐band modal expansion. Issue 8 (24th March 2017)
- Record Type:
- Journal Article
- Title:
- Fatigue assessment of offshore wind turbines on monopile foundations using multi‐band modal expansion. Issue 8 (24th March 2017)
- Main Title:
- Fatigue assessment of offshore wind turbines on monopile foundations using multi‐band modal expansion
- Authors:
- Iliopoulos, Alexandros
Weijtjens, Wout
Van Hemelrijck, Danny
Devriendt, Christof - Abstract:
- Abstract: Offshore wind turbines (OWTs) are subjected to both quasi‐static loads originating from variations in the thrust force and dynamic loads linked to turbulence, waves and turbine dynamics. Both types of loads contribute to fatigue life progression and thus define the turbine's age. As a structural health monitoring solution, one could thus directly measure the stress history at fatigue critical locations. However, for OWTs on monopile foundations some fatigue critical locations are located below the seabed. Installing strain sensors at these hotspots is therefore impossible for existing wind turbines. This measurement restriction is overcome by reconstructing the full‐field response of the structure based on the limited number of accelerometers and strain sensors (installed at a few easily accessible locations) and a calibrated finite element model of the system. The system model uses a multi‐band modal expansion approach constituted of the quasi‐static and dynamic contributions. These contributions are superimposed to reconstruct the stress history at all degrees of freedom of the finite element model, and the subsequent assess fatigue life consumption at all fatigue hot spots of the OWT. In this paper, the proposed virtual sensing technique is validated by predicting the stresses in the transition piece with 12 days of consecutive measurements from an operational OWT. The data set contains both variations in environmental and operating conditions as well as extremeAbstract: Offshore wind turbines (OWTs) are subjected to both quasi‐static loads originating from variations in the thrust force and dynamic loads linked to turbulence, waves and turbine dynamics. Both types of loads contribute to fatigue life progression and thus define the turbine's age. As a structural health monitoring solution, one could thus directly measure the stress history at fatigue critical locations. However, for OWTs on monopile foundations some fatigue critical locations are located below the seabed. Installing strain sensors at these hotspots is therefore impossible for existing wind turbines. This measurement restriction is overcome by reconstructing the full‐field response of the structure based on the limited number of accelerometers and strain sensors (installed at a few easily accessible locations) and a calibrated finite element model of the system. The system model uses a multi‐band modal expansion approach constituted of the quasi‐static and dynamic contributions. These contributions are superimposed to reconstruct the stress history at all degrees of freedom of the finite element model, and the subsequent assess fatigue life consumption at all fatigue hot spots of the OWT. In this paper, the proposed virtual sensing technique is validated by predicting the stresses in the transition piece with 12 days of consecutive measurements from an operational OWT. The data set contains both variations in environmental and operating conditions as well as extreme events. Finally, a full‐field strain assessment in the tower and foundation system of the OWT is demonstrated. Copyright © 2017 John Wiley & Sons, Ltd. … (more)
- Is Part Of:
- Wind energy. Volume 20:Issue 8(2017)
- Journal:
- Wind energy
- Issue:
- Volume 20:Issue 8(2017)
- Issue Display:
- Volume 20, Issue 8 (2017)
- Year:
- 2017
- Volume:
- 20
- Issue:
- 8
- Issue Sort Value:
- 2017-0020-0008-0000
- Page Start:
- 1463
- Page End:
- 1479
- Publication Date:
- 2017-03-24
- Subjects:
- virtual sensing -- offshore wind turbines -- fatigue assessment -- structural health monitoring
Wind power -- Periodicals
621.312136 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/we.2104 ↗
- Languages:
- English
- ISSNs:
- 1095-4244
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9319.175010
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 2887.xml