Anto01
2f3afc3813
Major Features: - Hierarchical substudy system (like NX Solutions/Subcases) * Shared model files across all substudies * Independent configuration per substudy * Continuation support from previous substudies * Real-time incremental history updates - Live history tracking with optimization_history_incremental.json - Complete bracket_displacement_maximizing study with substudy examples Core Fixes: - Fixed expression update workflow to pass design_vars through simulation_runner * Restored working NX journal expression update mechanism * OP2 timestamp verification instead of file deletion * Resolved issue where all trials returned identical objective values - Fixed LLMOptimizationRunner to pass design variables to simulation runner - Enhanced NXSolver with timestamp-based file regeneration verification New Components: - optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner - optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard - studies/bracket_displacement_maximizing/ - Complete substudy example * run_substudy.py - Substudy runner with continuation * run_optimization.py - Standalone optimization runner * config/substudy_template.json - Template for new substudies * substudies/coarse_exploration/ - 20-trial coarse search * substudies/fine_tuning/ - 50-trial refinement (continuation example) * SUBSTUDIES_README.md - Complete substudy documentation Technical Improvements: - Incremental history saving after each trial (optimization_history_incremental.json) - Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve - Trial indexing fix in substudy result saving - Updated README with substudy system documentation Testing: - Successfully ran 20-trial coarse_exploration substudy - Verified different objective values across trials (workflow fix validated) - Confirmed live history updates in real-time - Tested shared model file usage across substudies 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
37 lines
960 B
JSON
37 lines
960 B
JSON
{
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"substudy_name": "fine_tuning",
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"description": "Fine-grained optimization with 50 trials in narrow bounds around best design from coarse exploration",
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"parent_study": "bracket_displacement_maximizing",
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"created_date": "2025-11-16",
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"optimization": {
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"algorithm": "TPE",
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"direction": "minimize",
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"n_trials": 50,
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"n_startup_trials": 5,
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"design_variables": [
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{
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"parameter": "tip_thickness",
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"min": 18.0,
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"max": 22.0,
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"units": "mm",
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"comment": "Narrowed from coarse_exploration results"
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},
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{
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"parameter": "support_angle",
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"min": 28.0,
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"max": 35.0,
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"units": "degrees",
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"comment": "Narrowed from coarse_exploration results"
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}
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]
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},
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"continuation": {
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"enabled": true,
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"from_substudy": "coarse_exploration",
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"inherit_best_params": true,
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"comment": "Start from best design found in coarse exploration"
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}
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}
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