Fusing Simulation Results From Multifidelity Aero-servo-elastic Simulators - Application To Extreme Loads On Wind Turbine

Imad Abdallah, Bruno Sudret, Christos Lataniotis, John Dalsgaard Sørensen, Anand Natarajan

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Abstract

Fusing predictions from multiple simulators in the early stages of the conceptual design of a wind turbine results in reduction in model uncertainty and risk mitigation. Aero-servo-elastic is a term that refers to the coupling of wind inflow, aerodynamics, structural dynamics and controls. Fusing the response data from multiple aero-servo-elastic simulators could provide better predictive ability than using any single simulator. The co-Kriging approach to fuse information from multifidelity aero-servo-elastic simulators is presented. We illustrate the co-Kriging approach to fuse the extreme flapwise bending moment at the blade root of a large wind turbine as a function of wind speed, turbulence and shear exponent in the presence of model uncertainty and non-stationary noise in the output. The extreme responses are obtained by two widely accepted numerical aero-servo-elastic simulators, FAST and BLADED. With limited high-fidelity response samples, the co-Kriging model produced notably accurate prediction of validation data.
Original languageEnglish
Title of host publicationProceedings of 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP12
EditorsTerje Haukaas
Number of pages8
PublisherCivil Engineering Risk and Reliability Association
Publication date2015
Publication statusPublished - 2015
Event12th International Conference on Applications of Statistics and Probability in Civil Engineering - Vancouver, Canada
Duration: 12 Jul 201515 Jul 2015
Conference number: 12

Conference

Conference12th International Conference on Applications of Statistics and Probability in Civil Engineering
Number12
CountryCanada
CityVancouver
Period12/07/201515/07/2015

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