Wilkie, D;
Galasso, C;
(2019)
Fatigue reliability of offshore wind turbines using Gaussian processes.
In:
Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13).
(pp. p. 355).
S-Space: Seoul, South Korea.
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Abstract
The fatigue limit state (FLS) often drives the design of offshore wind turbine (OWT) substructures. Numerical assessment of fatigue damage over the life of a structure is computationally expensive, due to the need for time-history simulation of a large number of environmental conditions. This makes structural reliability for FLS a challenging task as it also requires numerical sampling of random variables to model uncertainty in the estimation of fatigue damage. This paper proposes using Gaussian process regression to build surrogate models for fatigue damage caused by different environmental conditions. A case study demonstrates how the proposed approach reduces the computational effort required to evaluate the FLS. Finally, a structural reliability calculation using the surrogate model highlights the large scatter in fatigue life prediction due to parameter uncertainty.
| Type: | Proceedings paper |
|---|---|
| Title: | Fatigue reliability of offshore wind turbines using Gaussian processes |
| Event: | 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13) |
| ISBN: | 979-119671250195530 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.22725/ICASP13.355 |
| Publisher version: | https://doi.org/10.22725/ICASP13.355 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10082990 |
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