Webinars: MATHEO - Smart Mathematics for Offshore Wind

The JRL-ORE will host three free webinars, in which BCAM is going to participate, in October that cover interesting research fields in the physical knowledge and mathematical model of offshore wind:

1. Computational and experimental analysis of the overtopping on structures for offshore renewables. 
The overtopping effect on offshore structures will be described, followed by an explanation of numerical modelling. The team will provide details about the analytical and experimental validation of the models.

Lectures: Tecnalia and Department of Nuclear Engineering and Fluid Mechanics of the UPV/EHU

Date: October 2nd, 11:00-12:00

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

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

Lecturers: Marco Ellero from BCAM, TECNALIA, Department of Geodynamics of the UPV/EHU, Department of Nuclear Engineering and Fluid Mechanics of the UPV/EHU

Date: October 16th, 11:00-12:00

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

Description of 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: David Pardo and Vincezo Nava from BCAM, TECNALIA, Department of Applied Mathematics, Statistics and Operations Research of the UPV/EHU,

Date: October 30th, 11:00-12:00

The webinars will have one hour of duration and will be conducted in Spanish.

Click here to register