MATHEO - Matemáticas Inteligentes para Eólica Offshore
UPV/EHU - Department of Nuclear Engineering and Fluid Mechanics
Department of Geodynamics
Department of Applied Mathematics and Statistics
and operational research of the University of Basque Country
Objective:The MATHEO project aims to address the problem associated with the uncertainty of the environmental effects that determine the design conditions of increasingly large grounded structures and on novel designs of floating structures. Although commercial tools are available to simulate the dynamics to which offshore wind structures are subjected, there is still a need in the industry for a good understanding and formulation of the physical phenomena to which they are subjected. Approaching the design of these large components by oversizing them to ensure their lifetime operation is not the best solution from an economic point of view. Companies that adopt advanced mathematical models for their designs can gain an advantage over the competition. This is coupled with the trend in the digitisation of components. By applying deep learning and big data techniques to process large amounts of data, it is possible to improve information on operation and remaining life, thus providing valuable information for maintenance and for the redesign of new products. Although these techniques are already used in other sectors, they are still at an embryonic stage of implementation in offshore wind, and in no case linked to advanced mathematical models or design tools.
MATH4SPORTS - Modelización matemática para la industria deportiva: salud y rendimiento
MATH4SPORTS seeks to transfer applied mathematics as a driving technology to the field of the sports industry, with a high potential for technology transfer to start-ups, professional clubs, researchers and other agents in the innovative environment of Bizkaia.
M-KONTAK - Investigación de los Fenómenos Asociados al Contacto Metal-Metal en Tecnologías de H2 a Alta Presión
The main objective of the M-KONTAK project is to gain an in-depth understanding of the failure modes and their effect on metallic materials and the surfaces of threaded joints in candidate technologies for high-pressure H2 effect on the metallic materials and surfaces that make up the threaded jo
KAIROS - Digitalización predictiva del comportamiento a largo plazo de materiales poliméricos composites. Empleo de IA, modelización basada en la física y metodologías de aceleración de ensayos
KAIROS was created with the main objective of researching and obtaining a solution that allows multi-scale digitisation combined with ML and accelerated testing methodologies, for the study of the long-term behaviour (creep, fatigue, ageing) of polymeric materials applicable, for example, to the
CHARGER+ - Nueva Generación de Puntos de Recarga de Vehículo Eléctrico con Funcionalidades Autónomas y Colaborativas e Impacto Cero
The general objective of the CHARGER+ project is to generate the necessary knowledge to define a new generation of electric vehicle (EV) charging points, so that the related Basque companies (electricity companies, charging post installation companies and charger manufacturers) will be in an adva