Fluca

A Computational Fluid Dynamics (CFD) framework based on the Immersed Boundary Method (IBM) and PETSc.

Fluca is a high-performance CFD solver designed for simulating incompressible viscous flows using the Immersed Boundary Method. Built on top of PETSc, it leverages parallel computing capabilities for efficient large-scale simulations.

• Immersed Boundary Method: Handle complex geometries without body-fitted meshes
• Cartesian Grid Support: Efficient structured mesh implementation
• Navier-Stokes Solver: Unsteady incompressible viscous flow simulation
• Parallel Computing: MPI-based parallelization through PETSc
• CGNS I/O: Standard file format support for mesh and solution data
• Flexible Boundary Conditions: Support for various boundary condition types
• Extensible Architecture: Modular design for easy addition of new solvers and mesh types

• CMake: >= 3.20
• C Compiler: Compatible with PETSc
• PETSc: >= 3.23
• HDF5: Required by CGNS
• CGNS: Must be built with parallel I/O support enabled

Fluca uses CMake as its build system.

mkdir build
cd build
cmake ..
make

• PETSC_DIR: Path to PETSc
• HDF5_DIR: Path to HDF5
• CGNS_DIR: Path to CGNS
• FLUCA_USE_PETSC_CC: Use the C compiler that was used to build PETSc (default: ON); if OFF, Fluca uses the compiler defined in CMAKE_C_COMPILER

For a step-by-step guide to using Fluca, including brief API documentation and examples, see QUICK_START.md.

For detailed information on the theoretical foundations and numerical methods implemented in Fluca, see THEORY_GUIDE.md.

Fluca uses the CGNS format for output files. You can visualize it using standard CFD post-processing tools such as ParaView or Tecplot.

The project uses clang-format for code formatting. The configuration file .clang-format, which is adopted from PETSc, is provided in the repository.

For other style guidelines, such as naming conventions or formatting not covered by clang-format, please refer to the PETSc Style and Usage Guide.

Pre-commit hooks are configured in .pre-commit-config.yaml. Install them with:

pip install pre-commit
pre-commit install

This project is licensed under the BSD 3-Clause License. See the LICENSE file for details.

• PETSc: https://petsc.org/
• CGNS: https://cgns.github.io/