FEM Modal Analysis
SkillDev toolsModal analysis of a membrane STL using Kirchhoff plate FEM (scipy eigensolver). Takes a binary STL + material properties JSON, constructs a 2D rectangular FEM mesh, assembles stiffness and mass matrices, extracts the first N eigenfrequencies, and reports whether any mode falls in a target frequency range. Returns artifact JSON with eigenfrequencies_hz, mode_shapes_png, and target_range_pass.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the FEM Modal Analysis skill
What this skill tells your AI
The instructions your AI receives, as published by lamm-mit/scienceclaw in skills/fem-analysis/SKILL.md and read by ahel’s review.
Kirchhoff thin-plate finite element modal analysis for ribbed membrane resonators.
Usage
python3 {baseDir}/scripts/modal_analysis.py \
--stl /path/to/membrane.stl \
--material '{"E_Pa":3e9,"nu":0.35,"rho_kg_m3":1500}' \
--target-freq-min 2000 \
--target-freq-max 8000 \
--output /tmp/fem_results.json
Output JSON
{
"eigenfrequencies_hz": [1234.5, 2345.6, ...],
"num_modes": 10,
"target_range_hz": [2000, 8000],
"target_range_pass": true,
"modes_in_range": [2345.6, 4567.8],
"mode_shapes_png": "/tmp/mode_shapes.png",
"mesh_nx": 40, "mesh_ny": 120,
"material": {"E_Pa": 3e9, "nu": 0.35, "rho_kg_m3": 1500}
}
Signals
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- Last commit
- Aug 2026
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fem-analysis- Source
- github.com/lamm-mit/scienceclaw