NASTRAN-95 finite element analysis with Python wrapper
Project description
nastran95
NASTRAN-95, the NASA Structural Analysis System, as an executable with a Python wrapper.
Run finite element analyses from Python, with results returned as NumPy arrays.
Features
- Two execution modes: subprocess (robust) or f2py (in-process via fork)
- Automatic output parsing: displacements, stresses, eigenvalues → NumPy arrays
- Full NASTRAN-95 capability: all 13 rigid format solution types
- Simple API:
nastran95.run(input_deck)→ structured results - f2py extension: direct Fortran binding with COMMON block access
- Compatible with pyNastran for BDF model generation
Quick Start
import nastran95
# Run a static analysis
result = nastran95.run("inp_clean/d01011a.inp")
if result.completed:
disp = result.displacements[0]
print(f"Max displacement: {disp.translations.max():.6e}")
See docs/getting-started.md for full documentation.
Installation
Install both the Fortran executable and the Python wrapper using pre-built wheels:
pip install nastran95
Or, if the wheels are not available for your system, build from source (below).
Building
First, build the NASTRAN-95 Fortran binary in the parent directory (requires gfortran):
cd build
make # compiles ~1850 Fortran sources (~60 seconds)
cd ..
Then install the Python package:
uv sync
Optionally, build the f2py extension for in-process execution:
cd python
uv run python -m nastran95._fortran.build_ext
Testing
uv run pytest python/tests/ -v
Architecture
python/
├── nastran95/
│ ├── __init__.py # Public API
│ ├── runner.py # Subprocess & f2py runners
│ ├── parser.py # F06 output parser
│ ├── models.py # Result dataclasses
│ └── _fortran/ # f2py extension
│ ├── build_ext.py # Build script
│ ├── nastran_entry.f # Fortran wrapper subroutine
│ ├── exit_override.c # EXIT/STOP interception via fork()
│ └── _nastran_core*.so # Built extension (after build_ext)
├── tests/
│ ├── test_parser.py # Output parser tests
│ ├── test_runner.py # Subprocess runner tests
│ ├── test_f2py.py # f2py extension tests
│ └── test_pynastran_integration.py # End-to-end with analytical verification
└── docs/
├── getting-started.md # User guide
└── api-reference.md # API documentation
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