3 papers
physics.comp-ph2025
Drag modelling for flows through assemblies of spherical particles with machine learning: A comparison of approaches
Julia Reuter, Hani Elmestikawy, Sanaz Mostaghim +1
Drag forces on particles in random assemblies can be accurately estimated through particle-resolved direct numerical simulations (PR-DNS). Despite its limited applicability to rela…
physics.flu-dyn2025
A new paradigm for computing hydrodynamic forces on particles in Euler-Lagrange point-particle simulations
Berend van Wachem, Hani Elmestikawy, Akshay Chandran +1
Accurate prediction of the hydrodynamic forces on particles is central to the fidelity of Euler-Lagrange (EL) simulations of particle-laden flows. Traditional EL methods typically…
physics.flu-dyn2024
Physically consistent immersed boundary method: a framework for predicting hydrodynamic forces on particles with coarse meshes
Max Hausmann, Hani Elmestikawy, Berend van Wachem
In the present paper, a fluid-particle coupling method is directly derived from the Navier-Stokes equations (NSE) by applying the concept of volume-filtering, yielding a physically…