feat: add adaptive isogrid tool — project foundations
- Python Brain: density field, constrained Delaunay triangulation, pocket profiles, profile assembly, validation modules - NX Hands: skeleton scripts for geometry extraction, AFEM setup, per-iteration solve (require NX environment to develop) - Atomizer integration: 15-param space definition, objective function - Technical spec, README, sample test geometry, requirements.txt - Architecture: Python Brain + NX Hands + Atomizer Manager
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tools/adaptive-isogrid/src/nx/iteration_solve.py
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tools/adaptive-isogrid/src/nx/iteration_solve.py
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"""
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NXOpen script — Per-iteration Model B rebuild + solve + extract.
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LOOP: Called by Atomizer for each trial.
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1. Delete old Model B geometry + mesh
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2. Import new 2D ribbed profile from rib_profile.json
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3. Mesh with hard-point seeds at interface node locations
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4. Merge nodes in Assembly FEM
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5. Solve (Nastran)
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6. Extract results → results.json
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NOTE: Skeleton — requires NX environment for development.
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See docs/technical-spec.md Section 4.3 for full pseudocode.
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"""
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def iteration_solve(profile_path, interface_nodes_path, afem_part):
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"""
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Single optimization iteration.
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Returns dict with status, mass, stress/displacement fields.
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"""
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raise NotImplementedError(
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"Develop inside NX Simcenter. See docs/technical-spec.md Section 4.3."
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)
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def extract_results(afem, solution):
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"""
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Extract field results from solved assembly FEM.
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Only from Model B elements (plate mesh), ignoring spiders.
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"""
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raise NotImplementedError(
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"Develop inside NX Simcenter. See docs/technical-spec.md Section 4.3."
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)
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