Continuous strain prediction for fatigue assessment of an offshore wind turbine using a joint input-state estimation algorithm and a modal interpolation algorithm
Maes, K.; De Roeck, G.; Lombaert, G.; Iliopoulos, A.; Van Hemelrijck, D.; Devriendt, C.; Guillaume, P. (2014). Continuous strain prediction for fatigue assessment of an offshore wind turbine using a joint input-state estimation algorithm and a modal interpolation algorithm, in: Furuta, H. et al. (Ed.) Life-cycle of structural systems: design, assessment, maintenance and management. pp. 146-152 In: Furuta, H. et al. (Ed.) (2014). Life-cycle of structural systems: design, assessment, maintenance and management. [S.n.]: [s.l.]. ISBN 9781138001206. 466 pp., more |
| Abstract | Offshore wind turbines are exposed to continuous wind and wave excitation. The continuous monitoring of high periodic strains at critical locations is important to assess the remaining lifetime of the structure. Some of the critical locations are not accessible for direct strain measurements, e.g. at the mud-line, 30 meter below the water level. Response estimation techniques can then be used to estimate the response at un-measured locations from a limited set of response measurements and a system model. This paper compares two algorithms for response estimation, a joint input-state estimation algorithm and a modal interpolation algorithm. The algorithms are validated using data obtained from a monitoring campaign on an offshore Vestas V90 3 MW wind turbine on a monopile foundation. It is shown that by properly choosing the number of equivalent forces assumed in the joint input-state estimation, the joint input-state estimation algorithm outperforms the modal interpolation algorithm, and yields accurate strain estimates that can be used for continuous fatigue assessment. |
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