Nuevos métodos numéricos y software para la simulación de propagación de ondas electromagnéticas en medios heterogéneos
Numerical simulation of wave propagation is at the core of many applications. For example, radar or sonar detection, medical imaging, seismology and oil field exploitation. It is a phenomenon that unfolds in an infinite (or very large) computational domain relative to the simulated wavelengths. However, the propagation phenomenon is visible in the immediate vicinity of the source (e.g. from the epicentre in the context of earthquake simulation). Therefore, it is sufficient to perform the calculations in a box or computational domain that contains the source and in which we can apply a finite element approximation method. These discretisation methods are very efficient, but still need to be improved in order to obtain accurate simulations when the medium is very heterogeneous. Computational accuracy is not the only objective to be guaranteed; it is also necessary to reduce computational costs. In fact, the simulation of wave propagation in heterogeneous media generates a very significant computational cost, especially when finite element techniques are applied. These computational costs can become prohibitive if one considers solving an inverse problem based on solving successive wave equations, as in the case of medical or seismic imaging. We need to find a good method that guarantees high accuracy while minimising the computational burden. The aim of this research project is to combine the expertise of the two research teams to develop a common solution program for electromagnetic wave propagation in complex media. We wish to develop original approximation techniques that should guarantee the accuracy of the computations and also reduce the computational burden by constructing optimised boundary conditions that minimise the size of the computational domain and also the computational burden. The fruit of this collaboration has several applications in imaging, with special emphasis on proposing an efficient methodology to solve inverse problems based on the developed direct methods.
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