Files
Atomizer/studies/bracket_displacement_maximizing
Anto01 2f3afc3813 feat: Add substudy system with live history tracking and workflow fixes
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>
2025-11-16 21:29:54 -05:00
..

Bracket Displacement Maximization Study

Study Name: bracket_displacement_maximizing Created: 2025-11-16 Phase: 3.3 - Optimization Setup Wizard

Overview

This study demonstrates the complete Phase 3.3 workflow for optimizing a bracket design to maximize displacement while maintaining structural safety.

Problem Statement

Objective: Maximize the displacement of a bracket under load

Constraints:

  • Safety factor ≥ 4.0
  • Material: Aluminum 6061-T6 (Yield strength = 276 MPa)
  • Allowable stress: 69 MPa (276/4)

Design Variables:

  • tip_thickness: 15-25 mm (baseline: 17 mm)
  • support_angle: 20-40° (baseline: 38°)

Model Information

  • Geometry: Bracket part with tip and support features
  • Mesh: 585 nodes, 316 elements (CHEXA, CPENTA)
  • Load: Applied force at tip
  • Boundary Conditions: Fixed support at base

Optimization Setup

Phase 3.3 Wizard Workflow

  1. Model Introspection - Read NX expressions from .prt file
  2. Baseline Simulation - Run initial simulation to validate setup
  3. OP2 Introspection - Auto-detect element types (CHEXA, CPENTA)
  4. Workflow Configuration - Build LLM workflow with detected element types
  5. Pipeline Validation - Dry-run test of all components
  6. Optimization - Run 20-trial TPE optimization

Extractors

  • Displacement: Extract max displacement from OP2 file
  • Stress: Extract von Mises stress from solid elements (auto-detected: CHEXA)

Calculations

  • Safety Factor: SF = 276.0 / max_von_mises
  • Objective: neg_displacement = -max_displacement (minimize for maximization)

Constraints

  • Safety Factor Hook: Enforces SF ≥ 4.0 with penalty

Directory Structure

bracket_displacement_maximizing/
├── model/                    # NX model files (isolated from tests/)
│   ├── Bracket.prt          # Part geometry
│   ├── Bracket_fem1.fem     # FE model
│   └── Bracket_sim1.sim     # Simulation setup
├── results/                  # Optimization results
│   ├── optimization_history.json
│   ├── best_design.json
│   └── trial_*.op2          # OP2 files for each trial
├── config/                   # Study configuration
│   └── study_config.json    # Complete study setup
├── run_optimization.py       # Main optimization script
├── optimization_log.txt      # Execution log
└── README.md                # This file

Running the Study

cd studies/bracket_displacement_maximizing
python run_optimization.py

The script will:

  1. Initialize the Phase 3.3 wizard
  2. Validate the complete pipeline
  3. Run 20 optimization trials
  4. Save results to results/ directory
  5. Generate comprehensive report

Results

Results are saved in the results/ directory:

  • optimization_history.json: Complete trial history
  • best_design.json: Best design parameters and performance
  • optimization_report.md: Human-readable summary

Key Features Demonstrated

Phase 3.3 Wizard - Automated validation before optimization Dynamic Element Detection - Auto-detects all element types from OP2 Self-Contained Study - Isolated model files prevent conflicts Complete Logging - Full execution trace for debugging Reproducible - Configuration files enable exact reproduction

Notes

  • All simulations run in the model/ directory to isolate from test files
  • OP2 files are regenerated for each trial (no caching issues)
  • Study can be re-run without affecting other tests or studies
  • Configuration is fully documented in config/study_config.json

References