30 citations · 63 across the 12 of their papers we have counts for
12 papers
Evolution of inertial particle clustering in decaying turbulence
Martín Obligado, Sofía Angriman
Inertial particle dynamics in turbulence are commonly interpreted in terms of the instantaneous particle Stokes number, as supported by studies in statistically stationary homogene…
Non-equilibrium formulation for inertial particles in turbulent swirling flows
Bernardo L. Español, Martin Obligado, Joachim Peinke +3
We study the dynamics of inertial particles in turbulence using datasets obtained from both direct numerical simulations and laboratory experiments of turbulent swirling flows. By…
Active grid turbulence anomalies through the lens of physics informed neural networks
Sofía Angriman, Sarah E. Smith, Patricio Clark di Leoni +3
Active grids operated with random protocols are a standard way to generate large Reynolds number turbulence in wind and water tunnels. But anomalies in the decay and third-order sc…
Turbulence unsteadiness drives extreme clustering
Florencia Zapata, Sofía Angriman, Amélie Ferran +3
We show that the unsteadiness of turbulence has a drastic effect on turbulence parameters and in particle cluster formation. To this end we use direct numerical simulations of part…
Coriolis force deflects wind plant wakes left in the Northern Hemisphere
Natalie Violetta Frank, Maria Eletta Negretti, Joel Sommeria +2
The physical growth of wind energy over several decades, caused a re-investigation mesoscale effects on wind plant dynamics. At a large scale operation, understanding the interacti…
Buoyancy driven bubbly flows: role of meso-scale structures on the relative motion between phases in bubble columns operated in the heterogeneous regime
Y. Mezui, M. Obligado, A. Cartellier
The hydrodynamics of bubble columns in the heterogeneous regime is investigated from experiments with bubbles at large particle Reynolds numbers and without coalescence. The void f…
Leading effect for wind turbine wake models
I. Neunaber, M. Hölling, M . Obligado
As wind energy expands worldwide, the demand of reliable, fast, cost-efficient wind turbine wake models is growing. This is a significant challenge as wind turbines face various in…
Generation of Turbulent States using Physics-Informed Neural Networks
Sofia Angriman, Pablo Cobelli, Pablo Mininni +2
When modelling turbulent flows, it is often the case that information on the forcing terms or the boundary conditions is either not available or overly complicated and expensive to…
An experimental study on the settling velocity of inertial particles in different homogeneous isotropic turbulent flows
Amélie Ferran, Nathanaël Machicoane, Alberto Aliseda +1
We propose an experimental study on the gravitational settling velocity of dense, sub-Kolmogorov inertial particles under different background turbulent flows. We report Phase Dopp…
Clustering in laboratory and numerical turbulent swirling flows
Sofía Angriman, Amélie Ferran, Florencia Zapata +3
We study the three-dimensional clustering of velocity stagnation points, of nulls of the vorticity and of the Lagrangian acceleration, and of inertial particles in turbulent flows…
Preferential concentration of free-falling heavy particles in turbulence
Florencia Falkinhoff, Martin Obligado, Mickaël Bourgoin +1
We present a sweep-stick mechanism for heavy particles transported by a turbulent flow under the action of gravity. Direct numerical simulations show that these particles preferent…
Characterizing 1D Inertial Particle Clustering
Daniel Odens Mora, Alberto Aliseda, Alain Cartellier +1
Clustering is an important phenomenon in turbulent flows laden with inertial particles. Although this process has been studied extensively, there are still open questions about bot…