Complete the NXOpenSolver class in nx_interface.py with production-ready evaluate() and close() methods, following proven patterns from M1_Mirror/SAT3_Trajectory_V7. Pipeline per trial: 1. NXSolver.create_iteration_folder() — HEEDS-style isolation with fresh model copies + params.exp generation 2. NXSolver.run_simulation() — journal-based solve via run_journal.exe (handles expression import, geometry rebuild, FEM update, SOL 101) 3. extract_displacement() — max displacement from OP2 4. extract_solid_stress() — max von Mises with auto-detect element type (tries all solid types first, falls back to CQUAD4 shell) 5. extract_mass_from_expression() — reads _temp_mass.txt from journal, with _temp_part_properties.json fallback Key decisions: - Auto-detect element type for stress (element_type=None) instead of hardcoding CQUAD4 — the beam model may use solid or shell elements - Lazy solver init on first evaluate() call for clean error handling - OP2 fallback path: tries solver result first, then expected naming convention (beam_sim1-solution_1.op2) - Mass fallback: _temp_mass.txt -> _temp_part_properties.json - LAC-compliant close(): only uses session_manager.cleanup_stale_locks(), never kills NX processes directly Expression mapping (confirmed from binary introspection): - beam_half_core_thickness, beam_face_thickness, holes_diameter, hole_count - Mass output: p173 (body_property147.mass, kg) Refs: OP_09, OPTIMIZATION_STRATEGY.md §8.2
Hydrotech Beam — Structural Optimization
Client: Hydrotech (internal test fixture) Channel: #project-hydrotech-beam Created: 2026-02-08 Status: Technical Breakdown Complete — Awaiting Gap Resolution
Objective
Optimize a sandwich I-beam with lightening holes: minimize mass while meeting stiffness and strength constraints.
Key Numbers
| Metric | Baseline | Target |
|---|---|---|
| Mass | ~974 kg | Minimize |
| Tip displacement | ~22 mm | ≤ 10 mm |
| Von Mises stress | TBD | ≤ 130 MPa |
Design Variables
| Variable | Range | Type |
|---|---|---|
| Half-core thickness | 10–40 mm | Continuous |
| Face thickness | 10–40 mm | Continuous |
| Hole diameter | 150–450 mm | Continuous |
| Hole count | 5–15 | Integer |
Approach
Two-phase optimization:
- DoE (LHS, 40–50 trials) — map the landscape
- TPE (Bayesian, 60–100 trials) — converge to optimum
Total budget: ~100–150 NX evaluations, est. 2–5 hours compute.
Project Structure
hydrotech-beam/
├── README.md ← You are here
├── CONTEXT.md # Intake requirements
├── BREAKDOWN.md # Technical analysis
├── DECISIONS.md # Decision log
├── models/ # Reference NX models (golden copies)
├── kb/ # Living knowledge base
│ ├── components/ # Per-component knowledge
│ ├── materials/ # Material data
│ ├── fea/ # FEA model knowledge
│ └── dev/ # Generation documents
├── images/ # Screenshots, plots, renders
├── studies/ # Optimization campaigns
│ └── 01_doe_landscape/ # (first study — pending)
└── deliverables/ # Final reports and recommendations
Key Documents
- CONTEXT.md — Full intake data
- BREAKDOWN.md — Tech Lead's technical analysis
- DECISIONS.md — All project decisions
- kb/_index.md — Knowledge base overview
Team
| Role | Agent | Status |
|---|---|---|
| Manager | 🎯 Manager | Coordinating |
| Technical Lead | 🔧 Tech Lead | Breakdown complete |
| CEO | Antoine | Gap resolution pending |