99 citations · 340 across the 12 of their papers we have counts for
12 papers
Analysis of wall-modelled particle/mesh PDF methods for turbulent parietal flows
Guilhem Balvet, Jean-Pierre Minier, Yelva Roustan +1
Lagrangian stochastic methods are widely used to model turbulent flows. Scarce consideration has, however, been devoted to the treatment of the near-wall region and to the formulat…
The dynamics of discrete particles in turbulent flows: open issues and current challenges in statistical modeling
Jean-Pierre Minier, Christophe Henry
This article is an invitation. It is, first, an invitation to consider as a subject worthy of attention the wide range of situations where small discrete elements, either bubbles,…
A time-step-robust algorithm to compute particle trajectories in 3-D unstructured meshes for Lagrangian stochastic methods
Guilhem Balvet, Jean-Pierre Minier, Christophe Henry +2
The purpose of this paper is to propose a time-step-robust cell-to-cell integration of particle trajectories in 3-D unstructured meshes in particle/mesh Lagrangian stochastic metho…
Particle resuspension: challenges and perspectives for future models
Christophe Henry, Jean-Pierre Minier, Sara Brambilla
The purpose of this review is to analyze the physics at play in particle resuspension in order to bring insights into the rich complexity of this common but challenging concern. Fo…
A stochastic approach to colloidal particle collision/agglomeration
Mireille Bossy, Radu Maftei, Jean-Pierre Minier +1
Colloidal particles that experience perfectly elastic collisions can be modelled using Langevin processes with specular reflection conditions. The article presents a discretisation…
Guidelines for the formulation of Lagrangian stochastic models for particle simulations of single-phase and dispersed two-phase turbulent flows
J. -P. Minier, S. Chibbaro, S. B. Pope
In this paper, we establish a set of criteria which are applied to discuss various formulations under which Lagrangian stochastic models can be found. These models are used for the…