Understanding the Lattice Boltzmann Method

Sep 12, 2024

Introduction to the Lattice Boltzmann Method

Lecture Overview

  • Date: Winter term 2022-2023
  • Method: Introduction to the Lattice Boltzmann (LB) Method
  • Important Note: Lecture is being recorded; refrain from speaking if sensitive material is to be discussed.
  • Mask Policy: Please wear masks if feeling unwell.

Key Objectives

  • Understand the Lattice Boltzmann Method with a focus on the Boltzmann equation.
  • Relate the Boltzmann equation to the Navier-Stokes equations.
  • Derive the Ether theorem which describes the direction of time progression.

The Boltzmann Equation

  • The Boltzmann equation describes the statistical behavior of a thermodynamic system away from equilibrium.
  • The equation involves the Collision integral and conserved quantities.
  • Understanding the Boltzmann equation is crucial before delving into the Lattice Boltzmann equation.
  • Key Concepts:
    • Probability density function, Collision operator, Conservation of mass, energy, and momentum.

Three Views of the World

  1. Atomistic View:

    • Focuses on distinct particles (atoms/molecules).
    • Describes particle motion using Newton's laws and binary forces.
    • Important for understanding the dynamics at the microscopic level.
  2. Continuous View:

    • Described by the Navier-Stokes equations.
    • Assumes a fluid's properties can be described as a continuous field.
    • Involves terms for velocity, pressure, and diffusion.
    • Conservation of mass, momentum, and energy.
  3. Kinetic/Mesoscopic View:

    • Based on the Boltzmann transport equation (BTE).
    • Considers indistinguishable particles.
    • Focuses on statistical mechanics rather than individual particle dynamics.
    • Probability density function describes the distribution of particles in phase space.

Kinetic Theory

  • The Boltzmann transport equation includes:
    • Time derivative of probability density function
    • Advection terms based on microscopic velocities
    • Collision operator accounting for particle interactions
  • Collision Assumptions:
    • Only binary collisions are considered.
    • Assumes molecular chaos where colliding particles are uncorrelated prior to collision.

Collision Dynamics

  • Collision conservation laws:
    • Mass, momentum, energy, and the number of particles are conserved during collisions.
  • The Collision integral expresses how particles gain or lose their states during interactions.

Ether Theorem

  • Describes how systems evolve toward equilibrium.
  • Key Findings:
    • When gain equals loss in collisions, the system reaches equilibrium.
    • H (or Ether) function is defined as an integral of the probability density function multiplied by its logarithm.
    • The derivative of H with respect to time shows the approach to equilibrium (entropy).

Final Remarks

  • Homework assignments will include coding tasks based on the theories discussed.
  • Students are encouraged to form groups for collaborative learning.
  • Next lecture will delve further into the implications of the Ether theorem and the Boltzmann equation.