CIMNE researchers have been awarded at the 61st Congress in Naval and Maritime Engineering held in Palma de Mallorca from 26th to 28th October, 2022. Borja Serván-Camas and Miguel Calpe, from Naval and Maritime Group of CIMNE, are co-authors of the content of the awarded talk entitled “Development of a digital twin for predictive maintenance of the structure of floating wind turbines”, jointly Julio García, from the Technical University of Madrid, and Javier Fernández Quijano, from Enerocean S.L.
The research linked to this presentation has been done within the framework of the EU-funded projects Fibregy and Fibre4Yards.
Els investigadors del @cimne reben el segon premi a la millor ponència del 61è Congrés d'Enginyeria Naval i Indústia Marítima, celebrat del 26 al 28 d'Octubre a #PalmadeMallorca 👇 Obrim fil pic.twitter.com/FQNwK250KW
— CIMNE (@cimne) October 31, 2022
Abstract of the presentation
The work “Development of a digital twin for predictive maintenance of the structure of floating wind turbines” presents a methodology for the development of a structural digital twin, conceived for its application in the predictive maintenance of floating wind turbines. The digital twin is based on a detailed three-dimensional dynamic FEM (Finite Element Method) model of the structure coupled with a time-domain seakeeping analysis solver. The resulting model has several million degrees of freedom, making it unmanageable for operational use.
For this reason, Model Order Reduction techniques (MOR) are used in order to generate a reduced model with a few hundred degrees of freedom and high precision. The techniques used for this are the SVD (Singular Value Decomposition) method and the EMOR (Enriched Modal Matrix Reduction) method developed by the authors.
