How do I visualize the results?

You can use the built-in plot() methods for physical fields and spectra, or export HDF5 files for advanced 3D visualization in ParaView.

What equations can FluidSim solve?

FluidSim includes solvers for 2D/3D Navier-Stokes equations, shallow water equations, and stratified flows for oceanic or atmospheric modeling.

Can I define custom initial conditions?

Absolutely. You can set the initial field type to 'in_script' and define velocity or density fields directly using NumPy-like syntax within the simulation setup.

Is it faster than standard Python?

Yes, it uses Pythran and Transonic compilation to achieve performance comparable to Fortran or C++ while keeping a Python interface.

Does FluidSim support parallel computing?

Yes, it supports MPI parallelization, allowing you to scale simulations across multiple processors on high-performance clusters.

FluidSim CFD Framework

Name: FluidSim CFD Framework
Author: ricable

byricable

•

Data Science & ML

Executes high-performance computational fluid dynamics simulations and analysis using pseudospectral methods in Python.

About

FluidSim is a specialized Python framework designed for high-performance computational fluid dynamics (CFD) simulations, enabling researchers and engineers to solve complex equations like Navier-Stokes, shallow water, and stratified flows. By leveraging pseudospectral methods with FFT and MPI parallelization, it offers the performance of Fortran or C++ while maintaining Python's developer-friendly syntax. This skill is ideal for modeling turbulence, vortex dynamics, and geophysical flows, providing a comprehensive workflow from initial parameter configuration and execution to interactive visualization and output analysis.

Key Features

Comprehensive parameter management system with hierarchical configuration
Pseudospectral methods using FFT with Pythran and Transonic compilation for speed
Multiple high-performance solvers including 2D/3D Navier-Stokes and shallow water equations
1 GitHub stars
Built-in MPI support for parallel computing on high-performance clusters
Integrated post-processing for real-time visualization and HDF5 data analysis

Use Cases

Modeling geophysical or atmospheric flows using shallow water and stratified flow equations
Simulating 2D or 3D turbulence to study energy cascades and vortex interactions
Conducting parametric studies to validate fluid behavior across varying viscosities and forcing types

About

Key Features

Comprehensive parameter management system with hierarchical configuration
Pseudospectral methods using FFT with Pythran and Transonic compilation for speed
Multiple high-performance solvers including 2D/3D Navier-Stokes and shallow water equations
1 GitHub stars
Built-in MPI support for parallel computing on high-performance clusters
Integrated post-processing for real-time visualization and HDF5 data analysis

Use Cases

Modeling geophysical or atmospheric flows using shallow water and stratified flow equations
Simulating 2D or 3D turbulence to study energy cascades and vortex interactions
Conducting parametric studies to validate fluid behavior across varying viscosities and forcing types