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Smart Mathematics for Offshore Wind Webinars available on our new Youtube channel!

We launch the new JRL-ORE YouTube channel with the webinars on Smart Mathematics for Offshore Wind given by our researchers but now, subtitled in English!

Access our videos in our new section!

  • Computational and experimental analysis of the overtopping on structures for offshore renewables.

Description of the overtopping effect on offshore structures, followed by an explanation of numerical modelling. Moreover, the team provides details about the analytical and experimental validation of the models.

Lecturers: TECNALIA, Department of Energy Engineering of the UPV/EHU

  • Modelling and simulation of sediment material for offshore wind energy applications.

Firstly, the team describes the seabed complexity in terms of sediment types and SPH modelling; secondly, the application of the numerical models to the interaction of drag embedded anchors with the seabed for floating wind.

Lecturers: TECNALIA, Department of Geodynamics of the UPV/EHU, BCAM, Department of Energy Engineering of the UPV/EHU

  • Challenges of applying deep neural networks to the offshore wind energy sector.

Last webinar describes the fundamentals of neural networks and application of deep learning techniques to the structural health monitoring -SHM- for the O&M cost reduction in offshore wind.

Lecturers: TECNALIA, Department of Applied Mathematics, Statistics and Operations Research of the UPV/EHU, BCAM

MATHEO is a project funded by the Basque Government with the participation of TECNALIA, BCAM, and three departments of UPV/EHU, to advance in the physical knowledge and in the mathematical modelling of offshore wind.

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For more information about the Project you can contact us.

If you want to take part keep an eye on our news!

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