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Fundamentals of Lattice Boltzmann Method

The Lattice Boltzmann Method (LBM), derived from the gas kinetic theory, has emerged as an alternative to the resolution of Navier-Stokes equations using computational fluid dynamics. LBM is an unsteady method and has several strengths: (1) easy mesh generation on complex geometry and (2) allows massively parallel computing. This training aims at providing basic knowledge on how LBM works.

Classes Start: Jan 15, 2018

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  1. Course Number

    LBM1
  2. Direction

    CERFACS
  3. Classes Start

    Jan 15, 2018
  4. Classes End

    Feb 06, 2018
  5. Estimated Effort

    3 hours per week

About This Course

Context

The Lattice Boltzmann Method (LBM), derived from the gas kinetic theory, has emerged as an alternative to the resolution of Navier-Stokes equations using computational fluid dynamics. LBM is an unsteady method and has several strengths: (1) easy mesh generation on complex geometry and (2) allows massively parallel computing. This training aims at providing basic knowledge on how LBM works.

Scientific content

This online training course presents the fundamental concepts of the Lattice Boltzmann Method (LBM). It is divided in 3 consecutive weeks:

  • week 1: introduction to LBM: why and what for?
  • week 2: the Bolztmann equation and the kinetic theory
  • week 3: solving the Boltzmann equation: the Lattice Bolztmann Method

An interactive live conference will close the 3-week session, focusing on the the main steps to apply LBM on industrial cases. The time slot for this conference will be decided regarding the attendees' availability in February.

Learning outcomes

At the end of this training, you will be able to:

  • evaluate the relevance of using LBM for a given case: benefits and limitations compared to the traditional resolution of the Navier-Stokes equations,
  • choose the appropriate lattice depending on physical phenomena of interest,
  • explain the numerical efficiency of LBM from the point of view of HPC: multiprocessing and wall-clock time.

Our pedagogical principles

All our learning sessions are built upon evidence-based principles from cognitive psychology and learning research:

  • concepts first: the course is focused on conceptual understanding of the meaning of equations and how they apply in practical cases (Van Heuvelen, 1991).
  • active learning: the course is organized around activities especially designed to make participants interact between each other, involving a deep processing of the scientific content previously shown in short videos (Salmon, 2013).
  • long-term retention and transfer: because you need to apply what you will learn during this session in the future and in various contexts, our courses are designed using the 10 laboratory-tested principles drawn from cognitive psychology (Halpern and Hakel, 2003).

Be prepared to be engaged and to interact with a community sharing a common goal: learning the scientific content of this course.

Prices

It costs 300 € for students, 350 € for CERFACS shareholders and 500 € for all others, including taxes. Once you have enrolled in the course, you will receive a link with information on how to pay. Credit cards are accepted via a Paypal transaction.

Requirements

While this course is not focused on mathematical aspects, a background in mathematical analysis is needed. Moreover you need a strong background in Computational Fluid Dynamics.

Course Staff

This course is designed by a group composed of expert researchers from the field supervised by an expert researcher in active online learning.

Course Staff Image #1

Eng. Jean-François Boussuge

Deputy team leader of the CFD Team at Cerfacs, his field of expertise is numerical methods to perform highly-resolved aero-acoustic and aerodynamic simulations. He works in the LBM field since 2013.

Course Staff Image #1

Dr. Christophe Coreixas

Holding a MS degree in Fluid Mechanics from the graduate school of aeronautical engineering ISAE-SUPAERO, Christophe Coreixas recently received his PhD in Statistical Physics from INP Toulouse, France. During his PhD, he worked on high-order lattice Boltzmann methods for the simulation of high-Reynolds and high-Mach number flows.

Course Staff Image #2

Dr. J-F. Parmentier

He gets his PhD in Fluid Mechanics working on modeling of two-phase gas-particle flows, deriving Euler-Euler models from the Boltzmann equation. Since 2014 he has oriented his research specifically on learning and teaching science using active learning methods.

Course Staff Image #1

Eng. Thomas Astoul

Holding a master degree in Fluid Mechanics at ENSEEIHT Toulouse, T. Astoul works for three years at Airbus company using Lattice Boltzmann Method for aircraft simulation. He currently performs a phD on aeroacoustics LBM.

Course Staff Image #1

Eng. Gauthier Wissocq

Holding a double Master’s degree from Ecole polytechnique and ISAE-Supaero, Gauthier Wissocq started studying the lattice Boltzmann method at CERFACS in 2015. He is currently a 2nd year PhD student working for Safran on the application of the LBM to aircraft engines simulations.

Course Staff Image #1

PhD student, Florian Renard

After two internships at M2P2 and CERFACS, respectively on porous media and thermal flow using the LBM, Florian Renard got his master degree in Fluid Mechanics and Non-Linear Physics at Aix Marseille University. He is currently pursuing a PhD at CERFACS dealing with the extension of LBM to aeronautical compressible flows.

Frequently Asked Questions

How much time should I spend on this course?

It will take you approximatively 3 hours a week. However, we expect you to connect at least every other day to be able to interact with participants.

What web browser should I use?

The Open edX platform works best with current versions of Chrome, Firefox or Safari, or with Internet Explorer version 9 and above.

See our list of supported browsers for the most up-to-date information.

Contact

If you want to contact us, please fill the following contact form.

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