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Fatigue Reliability of Offshore Wind Turbines using Gaussian Processes

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Authors
Wilkie, David; Galasso, Carmine
Issue Date
2019-05-26
Citation
13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019
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.
Language
English
URI
http://hdl.handle.net/10371/153484
DOI
https://doi.org/10.22725/ICASP13.355
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Civil & Environmental Engineering (건설환경공학부)ICASP13
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