A novel Digital Twin-based Structural Health Monitoring solution for offshore wind turbine platforms

Revision as of 16:47, 15 January 2024

Summary

This work introduces an innovative Structural Health Monitoring (SHM) solution for offshore wind platforms, featuring an advanced Digital Twin (DT) built on a fully-coupled aero-servo-hydro-elastic model. Our approach utilizes a detailed Finite Element model of the structure, meeting the requirements of the main assessment/certification standards. The application of the unique Enriched Modal Matrix Reduction technique leads substantially reduces CPU time, enabling near real-time calculations without compromising accuracy compared to the original FE model. The SHM system is completed with an optimized sensors setup to monitor the most relevant deformation modes. Additionally, it enables precise fine-tuning of the DT model using machine learning, resulting in an accurate Hybrid Analysis Model. Our modular and flexible DT-based SHM solution can be customized for any offshore wind platform concept, covering substructure, towers, mooring, and umbilicals. The solution is demonstrated through sea trials on Enerocean’s W2Power prototype.

Poster

References

[1] Servan-Camas, B.; Di-Capua, D.; Garcia-Espinosa, J.; Sa-Lopez, D. Fully 3D ship hydroelasticity: Monolithic versus partitioned strategies for tight coupling. Mar. Struct. 2021, 80, 103098. Available online: https://www.scipedia.com/public/Servan_Camas_et_al_2021a (accessed on 15 January 2024). [2] Servan-Camas, B.; Garcia-Espinosa, J.; Calpe-Linares, M. High Fidelity Hydroelastic Analysis Using Modal Matrix Reduction. J. Mar. Sci. Eng. 2023, 11(6), 1168; https://doi.org/10.3390/jmse11061168 [3] SeaFEM: Theory Manual, Compass IS. Available online: https://www.compassis.com/tdyn/soporte-seafem/ (accessed on 15 January 2024). [4] Camas, B.S.; Romero, J.G.; García-Espinosa, J. A Time-Domain Second-Order FEM Model for the Wave Diffraction-Radiation Problem. Validation with a Semisubmersible Platform. Mar. Struct. 2018, 58, 278–300. Available online: https://www.scipedia.com/public/Servan_Camas_et_al_2018a (accessed on 17 May 2023). [5] Servan Camas, B.; García-Espinosa, J. Accelerated 3D Multi-Body Seakeeping Simulations Using Unstructured Finite Elements. J. Comput. Phys. 2013, 252, 382–403. Available online: https://www.scipedia.com/public/Servan_Camas_Garcia-Espinosa_2013a (accessed on 17 May 2023). [6] Berdugo-Parada, I.; Servan-Camas, B.; Garcia-Espinosa, J. Numerical Framework for the Coupled Analysis of Floating Offshore Multi-Wind Turbines. J. Mar. Sci. Eng. 2024, 12(1), 85; https://doi.org/10.3390/jmse12010085 [7] Garcia-Espinosa, J.; Di Capua, D.; Servan-Camas, B.; Ubach, P.-A.; Onate, E. A FEM fluid–structure interaction algorithm for analysis of the seal dynamics of a Surface-Effect Ship. Comput. Methods Appl. Mech. Eng. 2015, 295, 290–304. Available online: https://www.scipedia.com/public/Garc%C3%ADa-Espinosa_2016a (accessed on 15 January 2024). [8] RamSeries: Theory Manual, Compass IS. Available online: https://www.compassis.com/tdyn/soporte-ramseries/ (accessed on 15 January 2024). [9] OpenFAST: User Guide and Theory Manual, NREL. Available online: https://openfast.readthedocs.io/en/dev/index.html (accessed on 15 January 2024).

Revision as of 16:47, 15 January 2024

Summary

Poster

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2 The main text

3 Bibliography

4 Acknowledgments

5 References

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@@ Line 1: / Line 1: @@
-==1 Title, abstract and keywords<!-- Your document should start with a concise and informative title. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible. Capitalize the first word of the title.
+== Summary ==
-Provide a maximum of 6 keywords, and avoiding general and plural terms and multiple concepts (avoid, for example, 'and', 'of'). Be sparing with abbreviations: only abbreviations firmly established in the field should be used. These keywords will be used for indexing purposes.
+This work introduces an innovative Structural Health Monitoring (SHM) solution for offshore wind platforms, featuring an advanced Digital Twin (DT) built on a fully-coupled aero-servo-hydro-elastic model. Our approach utilizes a detailed Finite Element model of the structure, meeting the requirements of the main assessment/certification standards. The application of the unique Enriched Modal Matrix Reduction technique leads substantially reduces CPU time, enabling near real-time calculations without compromising accuracy compared to the original FE model.
+The SHM system is completed with an optimized sensors setup to monitor the most relevant deformation modes. Additionally, it enables precise fine-tuning of the DT model using machine learning, resulting in an accurate Hybrid Analysis Model.
+Our modular and flexible DT-based SHM solution can be customized for any offshore wind platform concept, covering substructure, towers, mooring, and umbilicals. The solution is demonstrated through sea trials on Enerocean’s W2Power prototype.
-An abstract is required for every document; it should succinctly summarize the reason for the work, the main findings, and the conclusions of the study. Abstract is often presented separately from the article, so it must be able to stand alone. For this reason, references and hyperlinks should be avoided. If references are essential, then cite the author(s) and year(s). Also, non-standard or uncommon abbreviations should be avoided, but if essential they must be defined at their first mention in the abstract itself. -->==
+== Poster ==
-ss
+<pdf>Media:Draft_Garcia-Espinosa_671589194_1656_Póster WindEurope v2.pdf</pdf>
+== References ==
+[1] Servan-Camas, B.; Di-Capua, D.; Garcia-Espinosa, J.; Sa-Lopez, D. Fully 3D ship hydroelasticity: Monolithic versus partitioned strategies for tight coupling. Mar. Struct. 2021, 80, 103098. Available online: https://www.scipedia.com/public/Servan_Camas_et_al_2021a (accessed on 15 January 2024).
+[2] Servan-Camas, B.; Garcia-Espinosa, J.; Calpe-Linares, M. High Fidelity Hydroelastic Analysis Using Modal Matrix Reduction. J. Mar. Sci. Eng. 2023, 11(6), 1168; https://doi.org/10.3390/jmse11061168
+[3] SeaFEM: Theory Manual, Compass IS. Available online: https://www.compassis.com/tdyn/soporte-seafem/ (accessed on 15 January 2024).
+[4] Camas, B.S.; Romero, J.G.; García-Espinosa, J. A Time-Domain Second-Order FEM Model for the Wave Diffraction-Radiation Problem. Validation with a Semisubmersible Platform. Mar. Struct. 2018, 58, 278–300. Available online: https://www.scipedia.com/public/Servan_Camas_et_al_2018a (accessed on 17 May 2023).
+[5] Servan Camas, B.; García-Espinosa, J. Accelerated 3D Multi-Body Seakeeping Simulations Using Unstructured Finite Elements. J. Comput. Phys. 2013, 252, 382–403. Available online: https://www.scipedia.com/public/Servan_Camas_Garcia-Espinosa_2013a (accessed on 17 May 2023).
+[6] Berdugo-Parada, I.; Servan-Camas, B.; Garcia-Espinosa, J. Numerical Framework for the Coupled Analysis of Floating Offshore Multi-Wind Turbines. J. Mar. Sci. Eng. 2024, 12(1), 85; https://doi.org/10.3390/jmse12010085
+[7] Garcia-Espinosa, J.; Di Capua, D.; Servan-Camas, B.; Ubach, P.-A.; Onate, E. A FEM fluid–structure interaction algorithm for analysis of the seal dynamics of a Surface-Effect Ship. Comput. Methods Appl. Mech. Eng. 2015, 295, 290–304. Available online: https://www.scipedia.com/public/Garc%C3%ADa-Espinosa_2016a (accessed on 15 January 2024).
+[8] RamSeries: Theory Manual, Compass IS. Available online: https://www.compassis.com/tdyn/soporte-ramseries/ (accessed on 15 January 2024).
+[9] OpenFAST: User Guide and Theory Manual, NREL. Available online: https://openfast.readthedocs.io/en/dev/index.html (accessed on 15 January 2024).
 ==2 The main text<!-- You can enter and format the text of this document by selecting the ‘Edit’ option in the menu at the top of this frame or next to the title of every section of the document. This will give access to the visual editor. Alternatively, you can edit the source of this document (Wiki markup format) by selecting the ‘Edit source’ option.