Turbulent particle-laden flows are encountered in many practical applications such as geophysical flows, engineering processes or health/medicine studies. The modelling and simulation of particle transport and dispersion is complex due to the multi-physical nature of particle-laden flows.

Pour l’obtention du grade de Docteur en sciences de l’ingénieur et technologie Flows involving the transport of a dispersed solid phase by a carrier fluid are encountered in many environmental phenomena and industrial applications.

Pour l’obtention du grade de Docteur en sciences de l’ingénieur et technologie La technologie des PCB felixibles permet de développer de nouveaux types de bobinages qui améliorent les performances des moteurs électriques.

For the degree of Doctor of Engineering Sciences and Technology This thesis aims at curvilinear mesh generation and adaptation, we start from summary ideally the research project as a simple yet fundamental question: assume a unit square $$\Omega = \{(x^1,x^2) \in [0,1] \times [0,1]\}$$ and a smooth function $f(x^1,x^2)$ defined on the square, and consider a mesh $\mathcal T$ made of $P^2$ tria

X ray Computed Tomography has emerged 20 years ago in materials science and mechanics. For the first time, it provided non destructive 3D reconstruction of the microstructre of materials and systems in a nearly routine way.

Pour l’obtention du grade de Docteur en sciences de l’ingénieur et technologie   Essential to space missions involving an atmospheric entry, the thermal protection system (TPS) shields the spacecraft and its payload from the severe aerothermal loads. Low-density carbon/phenolic composite materials have gained renewed interest to serve as ablative thermal protection materials (TPMs).

European eels (Anguilla anguilla) undertake a 5000-km spawning migration from Europe to the Sargasso Sea although they do not feed during the migration. Indeed swimming organisms at large have refined their senses, morphologies, gaits and mechanical properties to effectively propel and maneuver in a variety of unsteady flow conditions.

Machine learning is a branch or artificial intelligence which aims at building models from known data, with few or no hypothesis on the underlying physical phenomenon. Machine learning is nowadays used in many disciplines such as medicine, industrial processes, e-commerce, transport, to cite only a few.

Pour l’obtention du grade de Docteur en sciences de l’ingénieur et technologie The numerical solution of high-frequency Helmholtz problems by discretization methods such as the finite element method is a big challenge. Indeed, obtaining high-fidelity solutions requires to assemble and solve extremely large linear systems, whose size increases more than linearly with frequency.

Chemical energy carriers will play an essential role for future energy systems, where harvesting and utilization of renewable energy occur not necessarily at the same time or place, hence long-time storage and long-range transport of energy are needed. For this, hydrogen holds great promise.