CFD Fortran

This project follows the similarly named project CFD Python, implementing the 12 steps to Navier-Stokes in modern Fortran.

CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential equations that describe the physics of fluid flow. This Fortran implementation provides the same educational journey using modern Fortran programming practices.

The original CFD Python module was created by Prof. Lorena Barba and has been widely used for teaching CFD fundamentals. This Fortran version maintains the same incremental approach and educational philosophy while leveraging Fortran's performance advantages for numerical computing.

Original Citation

Please cite the original work as: Barba, Lorena A., and Forsyth, Gilbert F. (2018). CFD Python: the 12 steps to Navier-Stokes equations. Journal of Open Source Education, 1(9), 21, https://doi.org/10.21105/jose.00021

Installation

This project uses the Fortran Package Manager (FPM).

Installing via Conda

We recommend using conda to install both the Fortran compiler and FPM:

# Create new environment with Fortran tools
conda create -n fortran-cfd -c conda-forge gfortran fpm
conda activate fortran-cfd

Building and Running

To build and run:

fpm build
fpm run

Shortcuts were added to run specific steps. For example to run step 1 use:

fpm @step_1

and to run step 2 run

fpm @step_2

Dependencies

• Modern Fortran compiler (gfortran, ifort, etc.)
• FPM (Fortran Package Manager)