Category Research Results

Smoothed Particle Hydrodynamics (SPH) is a versatile computational method used primarily for simulating fluid flows and continuum mechanics. Unlike traditional grid- based methods, SPH is a Lagrangian, mesh-free approach that represents fluid or solid domains as a collection of nodes,…

It is well known that the classic hydrodynamic Navier-Stokes model comes with certain limitations. One of them is the inaccurate description of fluids with internal microstructure, which is a general class of fluids that includes among others, suspensions, polymers, liquid…

The manner in which high Reynolds number turbulent flow interacts with solid surfaces and the way turbulence is modified in the vicinity of a solid wall is of paramount theoretical and practical importance. The law of the wall and its…

Lagrangian methods are based on the concept of describing fluid flows by following the motion of fluid particles. This appears to overcome numerical difficulties associated with large deformations, which are present and difficult to resolve in Eulerian approaches. In MOVEFREE,…

The increased computational effort inherent in DNS and other numerical formulations, both in time and hardware needs, has opened the way to adopt novel computational techniques, stemming from Machine Learning (ML). Aerodynamic coefficient prediction, turbulence modelling, transitional flow modelling, and…

Nowadays, the domain of fluid mechanics has seen significant advancements. Alongside traditional experimental datasets, Direct Numerical Simulations (DNS) of the Navier-Stokes equations have generated vast amounts of high-fidelity data​. This “wealth” of information has offered crucial insights for developing turbulence…