Owing to its efficiency and aptitude for a massive parallelization, the lattice Boltzmann method generally outperforms conventional solvers in terms of execution time in weakly-compressible flows. However, the authorized time-step (being inversely proportional to the speed of sound) becomes prohibitively small in the incompressible limit, so that the performance advantage over continuum-based solvers vanishes. A remedy to increase the time-step is provided by artificially tailoring the speed of sound throughout the simulation, so as to reach a fixed target Mach number much larger than the actual one. While achieving considerable speed-ups in certain flow configurations, such adaptive time-stepping comes with the flaw that the continuities o...
International audienceA new low-Mach algorithm for the thermal lattice Boltzmann method (LBM) is pro...
AbstractThe artificial compressibility method and the lattice Boltzmann method yield the solutions o...
International audienceIn this article, we propose a numerical framework based on multiple relaxation...
Owing to its efficiency and aptitude for a massive parallelization, the lattice Boltzmann method gen...
International audienceThe lattice Boltzmann method often involves small numerical time steps due to ...
A modified lattice Boltzmann algorithm is shown to have much better stability to growing temperature...
It is shown that the lattice Boltzmann equation (LBE) corresponds to an explicit, Verlet time-marchi...
We reassess a method for increasing the computational accuracy of lattice Boltzmann schemes by a sim...
International audienceThe accuracy of the lattice-Boltzmann (LB) method is related to the relaxation...
We present detailed analysis of a lattice Boltzmann approach to model time-dependent Newtonian flows...
Standard lattice Boltzmann methods (LBMs) are based on a symmetric discretization of the phase space...
International audienceThe lattice Boltzmann collision model with multiple relaxation times is modifi...
A preconditioning technique to accelerate the simulation of steady-state problems using the single-r...
This contribution proposes an alternative lattice Boltzmann grid refinement algorithm that overcomes...
Lattice Boltzmann is a fixed grid particle based method originated from molecular dynamics which use...
International audienceA new low-Mach algorithm for the thermal lattice Boltzmann method (LBM) is pro...
AbstractThe artificial compressibility method and the lattice Boltzmann method yield the solutions o...
International audienceIn this article, we propose a numerical framework based on multiple relaxation...
Owing to its efficiency and aptitude for a massive parallelization, the lattice Boltzmann method gen...
International audienceThe lattice Boltzmann method often involves small numerical time steps due to ...
A modified lattice Boltzmann algorithm is shown to have much better stability to growing temperature...
It is shown that the lattice Boltzmann equation (LBE) corresponds to an explicit, Verlet time-marchi...
We reassess a method for increasing the computational accuracy of lattice Boltzmann schemes by a sim...
International audienceThe accuracy of the lattice-Boltzmann (LB) method is related to the relaxation...
We present detailed analysis of a lattice Boltzmann approach to model time-dependent Newtonian flows...
Standard lattice Boltzmann methods (LBMs) are based on a symmetric discretization of the phase space...
International audienceThe lattice Boltzmann collision model with multiple relaxation times is modifi...
A preconditioning technique to accelerate the simulation of steady-state problems using the single-r...
This contribution proposes an alternative lattice Boltzmann grid refinement algorithm that overcomes...
Lattice Boltzmann is a fixed grid particle based method originated from molecular dynamics which use...
International audienceA new low-Mach algorithm for the thermal lattice Boltzmann method (LBM) is pro...
AbstractThe artificial compressibility method and the lattice Boltzmann method yield the solutions o...
International audienceIn this article, we propose a numerical framework based on multiple relaxation...