Deadline for registration: 15 days before the starting date of each training
Duration : 1 day / (6 hours)
Before signing up, you may wish to report us any particular constraints (schedules, health, unavailability…) at the following e-mail address : firstname.lastname@example.org
In May 2019, 100% of participants were satisfied or very satisfied
(results collected from 8 respondents)
This lecture aims at providing the audience with an additional knowledge of methods based on Discrete Velocity Boltzmann Equations, with a particular emphasis on Lattice-Boltzmann Methods. Key elements of discretization and time integration will be discussed, along with classical CFD topics such as boundary conditions, turbulence modeling, accounting for compressibility effects, acoustic wave propagation. Illustration of the methods on academic and industrial flow configurations will be shown.
Objective of the training
To provide the audience with advanced knowledge about physical models and numerical methods that are the core of main LBM softwares.
On completion of this course, you will be able to :
- select an adequate LBM method to handle a given physical problem,
- to design adequate computational grid to get reliable results,
- to select relevant physical sub models (e.g. turbulence models, wall models) to get reliable results,
The training is an alternation of theoretical presentations and practical work. A multiple choice question allows the final evaluation. The training room is equipped with computers, the work can be done in sub-groups of two people.
PhD students, engineers, researchers
Prerequisites and registration
In order to follow this course, you need to have followed the session “Implementation and use of the Lattice Boltzmann Method” organized by Cerfacs.
The training can take place in French or English dependin on the audience, level B2 of the CEFR is required.
Referent teacher: Jean-François Boussuge
- Trainees/PhDs/PostDocs : 70 € excl. tax
- CERFACS shareholders/CNRS/INRIA : 200 € excl. tax
- Public : 400 € excl. tax
09:00-10:15: From DVBE to LBM and other methods
10:30-12:15: Main features of LBM: dispersive and dissipative error, stability
14:00-15:15: Boundary conditions, turbulence modeling within LBM framework
15:30-16:45: Extension to thermal and fully compressible models
Evaluation of learning
A final exam will be conducted during the training.