Shape sensing of NREL 5 MW offshore wind turbine blade using iFEM methodology
Li, Mingyang and Dirik, Yildirim and Oterkus, Erkan and Oterkus, Selda (2023) Shape sensing of NREL 5 MW offshore wind turbine blade using iFEM methodology. Ocean Engineering, 273. 114036. ISSN 0029-8018 (https://doi.org/10.1016/j.oceaneng.2023.114036)
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Abstract
In this study, the shape sensing of a blade of the NREL 5MW offshore wind turbine is presented by using the inverse Finite Element Method (iFEM) under real loading conditions. Among the applied forces, the aerodynamic forces are calculated based on the Blade Element Momentum Theory (BEMT). The results of iFEM with full sensors and reduced sensors are compared with the reference Finite Element Method (FEM) analysis to test the accuracy of the iFEM analysis. The practical distribution of the iFEM elements with sensors is explored and the effects of different wind velocities are investigated to make the analysis more practical. Based on numerical results, it is concluded that iFEM is a suitable technique for shape sensing of offshore wind turbines.
ORCID iDs
Li, Mingyang, Dirik, Yildirim, Oterkus, Erkan ORCID: https://orcid.org/0000-0002-4614-7214 and Oterkus, Selda ORCID: https://orcid.org/0000-0003-0474-0279;-
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Item type: Article ID code: 84399 Dates: DateEvent1 April 2023Published25 February 2023Published Online19 February 2023AcceptedSubjects: Technology > Hydraulic engineering. Ocean engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
Strategic Research Themes > Society and Policy
Strategic Research Themes > Ocean, Air and Space
Strategic Research Themes > Measurement Science and Enabling Technologies
Strategic Research Themes > Innovation Entrepreneurship
Strategic Research Themes > Health and Wellbeing
Strategic Research Themes > Energy
Strategic Research Themes > Advanced Manufacturing and MaterialsDepositing user: Pure Administrator Date deposited: 23 Feb 2023 15:30 Last modified: 11 Nov 2024 13:49 URI: https://strathprints.strath.ac.uk/id/eprint/84399