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| author | Claudius "keldu" Holeksa <mail@keldu.de> | 2025-11-12 13:31:23 +0100 |
|---|---|---|
| committer | Claudius "keldu" Holeksa <mail@keldu.de> | 2025-11-12 13:31:23 +0100 |
| commit | ba544718d4796aad5eb80631b4ac27ca5392a934 (patch) | |
| tree | 8c5cec73d77a8edcf39da9d6766d132f146e71f0 | |
| parent | 67539da96c5980e9631a6aa16a19ce454a638ad3 (diff) | |
| download | phd-fluid_mechanics_report-ba544718d4796aad5eb80631b4ac27ca5392a934.tar.gz | |
progress
| -rw-r--r-- | typst/main.typ | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/typst/main.typ b/typst/main.typ index afa342c..1b0d4d2 100644 --- a/typst/main.typ +++ b/typst/main.typ @@ -201,6 +201,11 @@ The Lattice-Boltzmann-Method offers an efficient mesoscopic alternative. Instead of solving the Navier-Stokes equations directly, LBM is a celullar automaton on an equidistant grid based on a stochastic particle distribution among discretized velocities, so called descriptors. +#figure( +image("d3q27.jpg"), +caption: An example of a discrete 27 velocity descriptor +) + Through these stochastic behaviours, the macroscopic quantities such as velocity and pressure emerge naturally, recovering the Stokes flow or Navier-Stokes flow. @@ -211,4 +216,6 @@ dependencies @krueger2017lbm. === Immersed Boundary Method +To couple a particle dynamics system with the LBM modell, + === Homogenized Lattice-Boltzmann |
