Atomizer

Antoine/Atomizer

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Author	SHA1	Message	Date
Antoine	33180d66c9	Rewrite NXOpenSolver to use existing Atomizer optimization engine - Use optimization_engine.nx.updater.NXParameterUpdater for expression updates (.exp import method) - Use optimization_engine.nx.solver.NXSolver for journal-based solving (run_journal.exe) - Use optimization_engine.extractors for displacement, stress, and mass extraction - Displacement: extract_displacement() from pyNastran OP2 - Stress: extract_solid_stress() with cquad4 support (shell elements), kPa→MPa conversion - Mass: extract_mass_from_expression() reads from temp file written by solve journal - Support for iteration folders (HEEDS-style clean state between trials) - Proper error handling with TrialResult(success=False, error_message=...) - 600s timeout per trial (matching existing NXSolver default) - Keep stub solver and create_solver() factory working - Maintain run_doe.py interface compatibility	2026-02-10 23:26:51 +00:00
Antoine	017b90f11e	feat(hydrotech-beam): Phase 1 LHS DoE study code Implements the optimization study code for Phase 1 (LHS DoE) of the Hydrotech Beam structural optimization. Files added: - run_doe.py: Main entry point — Optuna study with SQLite persistence, Deb's feasibility rules, CSV/JSON export, Phase 1→2 gate check - sampling.py: 50-point LHS via scipy.stats.qmc with stratified integer sampling ensuring all 11 hole_count levels (5-15) are covered - geometric_checks.py: Pre-flight feasibility filter — hole overlap (corrected formula: span/(n-1) - d ≥ 30mm) and web clearance checks - nx_interface.py: NX automation module with stub solver for development and NXOpen template for Windows/dalidou integration - requirements.txt: optuna, scipy, numpy, pandas Key design decisions: - Baseline enqueued as Trial 0 (LAC lesson) - All 4 DV expression names from binary introspection (exact spelling) - Pre-flight geometric filter saves compute and prevents NX crashes - No surrogates (LAC lesson: direct FEA via TPE beats surrogate+L-BFGS) - SQLite persistence enables resume after interruption Tested end-to-end with stub solver: 51 trials, 12 geometric rejects, 39 solved, correct CSV/JSON output. Ref: OPTIMIZATION_STRATEGY.md, auditor review 2026-02-10	2026-02-10 22:15:06 +00:00

Author

SHA1

Message

Date

Antoine

33180d66c9

Rewrite NXOpenSolver to use existing Atomizer optimization engine

- Use optimization_engine.nx.updater.NXParameterUpdater for expression updates (.exp import method)
- Use optimization_engine.nx.solver.NXSolver for journal-based solving (run_journal.exe)
- Use optimization_engine.extractors for displacement, stress, and mass extraction
- Displacement: extract_displacement() from pyNastran OP2
- Stress: extract_solid_stress() with cquad4 support (shell elements), kPa→MPa conversion
- Mass: extract_mass_from_expression() reads from temp file written by solve journal
- Support for iteration folders (HEEDS-style clean state between trials)
- Proper error handling with TrialResult(success=False, error_message=...)
- 600s timeout per trial (matching existing NXSolver default)
- Keep stub solver and create_solver() factory working
- Maintain run_doe.py interface compatibility

2026-02-10 23:26:51 +00:00

Antoine

017b90f11e

feat(hydrotech-beam): Phase 1 LHS DoE study code

Implements the optimization study code for Phase 1 (LHS DoE) of the
Hydrotech Beam structural optimization.

Files added:
- run_doe.py: Main entry point — Optuna study with SQLite persistence,
  Deb's feasibility rules, CSV/JSON export, Phase 1→2 gate check
- sampling.py: 50-point LHS via scipy.stats.qmc with stratified integer
  sampling ensuring all 11 hole_count levels (5-15) are covered
- geometric_checks.py: Pre-flight feasibility filter — hole overlap
  (corrected formula: span/(n-1) - d ≥ 30mm) and web clearance checks
- nx_interface.py: NX automation module with stub solver for development
  and NXOpen template for Windows/dalidou integration
- requirements.txt: optuna, scipy, numpy, pandas

Key design decisions:
- Baseline enqueued as Trial 0 (LAC lesson)
- All 4 DV expression names from binary introspection (exact spelling)
- Pre-flight geometric filter saves compute and prevents NX crashes
- No surrogates (LAC lesson: direct FEA via TPE beats surrogate+L-BFGS)
- SQLite persistence enables resume after interruption

Tested end-to-end with stub solver: 51 trials, 12 geometric rejects,
39 solved, correct CSV/JSON output.

Ref: OPTIMIZATION_STRATEGY.md, auditor review 2026-02-10

2026-02-10 22:15:06 +00:00

2 Commits