Skip to main content

Add your description here

Project description

lbm

A simple lattice-Boltzmann code for 2D flow resolutions. All the tools are contained in the lattice.py file, and separate cases are built on top of this library.

Contents

This LBM code includes:

  • D2Q9 lattice
  • TRT collision operator
  • Zou-He on all boundary conditions
  • Drag/lift computation using interpolated bounce-back
  • Core routines are deferred to Numba

Below are some examples ran with the code. The related cases are available in the repository.

Lid-driven cavity

A simple driven cavity in unit square. Launch it by running python3 cavity.py.
Below are the computed time-domain velocity norms and final streamlines at Re=100 (left) and Re=1000 (right).

A comparison of u_x = f(y) at the center of the domain with reference data from "U. Ghia, K. N. Ghia, C. T. Shin, High-Re solutions for incompressible flow using Navier-Stokes equations and multigrid method."

Turek benchmark

The Turek cylinder benchmark CFD case is described in "Schafer, M., Turek, S. Benchmark Computations of Laminar Flow Around a Cylinder". The 2D case consists in a circular cylinder in a channel with top and bottom no-slip conditions, and with a Poiseuille flow at the inlet (these cases are named 2D-1 and 2D-2 in the aforementionned reference). The cylinder is voluntarily not centered to trigger instability at sufficient Reynolds number. Here, we explore the accuracy of the drag and lift computation.

ny 2D-1 (Re=20) Cd 2D-1 (Re=20) Cl 2D-2 (Re=100) Cd 2D-2 (Re=100) Cl
Turek --- 5.5800 0.0107 3.2300 1.0000
lbm 100 5.6300 0.0862 3.0411 0.5834
lbm 200 5.5804 0.0371 3.2582 1.2047
lbm 300 5.5846 0.0261 3.2152 1.0987

Below are videos of the 2D-1 and 2D-2 cases:

Poiseuille with random obstacles

It is possible to run a Poiseuille flow with random obstacles in the domain. Below is an example.

Running

To run a simulation, adjust the parameters in the related python file, then run python3 case.py. A results folder will be generated in ./results/ with the current date and time. The png/ folder will contain outputs of the velocity norm over the domain. To generate a video out of the png files, you can use the convert command as follows:

convert -delay 10 -resize 50% -loop 0 'u_norm_%d.png'[0-100] animation.gif

To optimize and resize gifs, use gifsicle :

gifsicle -i animation.gif --scale 0.6 -O3 --colors 256 -o anim-opt.gif

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

funlbm-1.1.7.tar.gz (12.4 kB view details)

Uploaded Source

Built Distribution

funlbm-1.1.7-py3-none-any.whl (13.1 kB view details)

Uploaded Python 3

File details

Details for the file funlbm-1.1.7.tar.gz.

File metadata

  • Download URL: funlbm-1.1.7.tar.gz
  • Upload date:
  • Size: 12.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.4.25

File hashes

Hashes for funlbm-1.1.7.tar.gz
Algorithm Hash digest
SHA256 50ea89e231cccf037227667ff0c7f4a34070de1282051891af6b9190bfd518da
MD5 1486488dbdf6c5641db7487f0f65762b
BLAKE2b-256 a5b8792470537676e6a263c5346dc5adc403853507d81578236f6731b489c5ce

See more details on using hashes here.

File details

Details for the file funlbm-1.1.7-py3-none-any.whl.

File metadata

  • Download URL: funlbm-1.1.7-py3-none-any.whl
  • Upload date:
  • Size: 13.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.4.25

File hashes

Hashes for funlbm-1.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 17937daa1d890f5c20fa9c86ee361325917b42aa34c726752cb641a1df078a52
MD5 98102c1938374fa86f76e69f2843448b
BLAKE2b-256 069d516341b5c6c6a75a0a214708fd3935b3f6cd43a64998bb0e074df261ef57

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page