fluidsim

Navier-Stokes simulations for turbulence studies run via Python-based solvers using FFT-based pseudospectral methods. The framework provides ready-to-use 2D/3D solvers enabling rapid parameter studies and detailed post-processing of vortex dynamics.

MPI parallelization is supported for high-performance CFD simulations to enable scalable computation. The framework handles 2D/3D Navier-Stokes, shallow water, and stratified flows with pseudospectral methods for robust distributed processing.

Configuring parameters for stratified flow modeling uses a modular parameter configuration system with safe parameter handling. Researchers instantiate a default parameter set, configure the solver, and run the simulation to generate structured outputs.

Pseudospectral FFT computation works for geophysical flow modeling by providing fast, scalable calculation. The framework covers shallow water and stratified flows, enabling detailed post-processing through structured outputs like state files and spatial means.

CFD post-processing extracts spatial means and spectra through structured outputs generated by the framework. After running simulations, the solvers automatically produce state files, spectra, and spatial means for detailed analysis of turbulence and flow dynamics.

FFT-based pseudospectral methods for incompressible flows are limited to specific boundary conditions suitable for spectral accuracy. The framework focuses on 2D/3D Navier-Stokes, shallow water, and stratified flows, and may not handle complex geometries outside periodic domains.