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feat: Implement Study Organization System (Organization v2.0) Reorganized simple_beam_optimization study and created templates for future studies following best practices for clarity, chronology, and self-documentation. ## Study Reorganization (simple_beam_optimization) **New Directory Structure**: ``` studies/simple_beam_optimization/ ├── 1_setup/ # Pre-optimization setup │ ├── model/ # Reference CAD/FEM model │ └── benchmarking/ # Baseline validation results ├── 2_substudies/ # Optimization runs (numbered chronologically) │ ├── 01_initial_exploration/ │ ├── 02_validation_3d_3trials/ │ ├── 03_validation_4d_3trials/ │ └── 04_full_optimization_50trials/ └── 3_reports/ # Study-level analysis └── COMPREHENSIVE_BENCHMARK_RESULTS.md ``` **Key Changes**: 1. **Numbered Substudies**: 01_, 02_, 03_, 04_ indicate chronological order 2. **Reorganized Setup**: model/ and benchmarking/ moved to 1_setup/ 3. **Centralized Reports**: Study-level docs moved to 3_reports/ 4. **Substudy Documentation**: Each substudy has README.md explaining purpose/results ## Updated Metadata **study_metadata.json** (v2.0): - Tracks all 4 substudies with creation date, status, purpose - Includes result summaries (best objective, feasible count) - Documents new organization version **Substudies Documented**: - 01_initial_exploration - Initial design space exploration - 02_validation_3d_3trials - Validate 3D parameter updates - 03_validation_4d_3trials - Validate 4D updates including hole_count - 04_full_optimization_50trials - Full 50-trial optimization ## Templates for Future Studies **templates/study_template/** - Complete study structure: - README.md template with study overview format - study_metadata.json template with v2.0 schema - Pre-created 1_setup/, 2_substudies/, 3_reports/ directories **templates/substudy_README_template.md** - Standardized substudy documentation: - Purpose and hypothesis - Configuration changes from previous run - Expected vs actual results - Validation checklist - Lessons learned - Next steps **templates/HOW_TO_CREATE_A_STUDY.md** - Complete guide: - Quick start (9 steps from template to first run) - Substudy workflow - Directory structure reference - Naming conventions - Best practices - Troubleshooting guide - Examples ## Benefits **Clarity**: - Numbered substudies show chronological progression (01 → 02 → 03 → 04) - Clear separation: setup vs. optimization runs vs. analysis - Self-documenting via substudy READMEs **Discoverability**: - study_metadata.json provides complete substudy registry - Each substudy README explains what was tested and why - Easy to find results for specific runs **Scalability**: - Works for small studies (3 substudies) or large studies (50+) - Chronological numbering scales to 99 substudies - Template system makes new studies quick to set up **Reproducibility**: - Each substudy documents configuration changes - Purpose and results clearly stated - Lessons learned captured for future reference ## Implementation Details **reorganize_study.py** - Migration script: - Handles locked files gracefully - Moves files to new structure - Provides clear progress reporting - Safe to run multiple times **Organization Version**: 2.0 - Tracked in study_metadata.json - Future studies will use this structure by default - Existing studies can migrate or keep current structure ## Files Added - templates/study_template/ - Complete study template - templates/substudy_README_template.md - Substudy documentation template - templates/HOW_TO_CREATE_A_STUDY.md - Comprehensive creation guide - reorganize_study.py - Migration script for existing studies ## Files Reorganized (simple_beam_optimization) **Moved to 1_setup/**: - model/ → 1_setup/model/ (CAD/FEM reference files) - substudies/benchmarking/ → 1_setup/benchmarking/ - baseline_validation.json → 1_setup/ **Renamed and Moved to 2_substudies/**: - substudies/initial_exploration/ → 2_substudies/01_initial_exploration/ - substudies/validation_3trials/ → 2_substudies/02_validation_3d_3trials/ - substudies/validation_4d_3trials/ → 2_substudies/03_validation_4d_3trials/ - substudies/full_optimization_50trials/ → 2_substudies/04_full_optimization_50trials/ **Moved to 3_reports/**: - COMPREHENSIVE_BENCHMARK_RESULTS.md → 3_reports/ **Substudy-Specific Docs** (moved to substudy directories): - OPTIMIZATION_RESULTS_50TRIALS.md → 2_substudies/04_full_optimization_50trials/OPTIMIZATION_RESULTS.md ## Documentation Created Each substudy now has README.md documenting: - **01_initial_exploration**: Initial exploration purpose - **02_validation_3d_3trials**: 3D parameter update validation - **03_validation_4d_3trials**: hole_count validation success - **04_full_optimization_50trials**: Full results, no feasible designs found ## Next Steps **For Future Studies**: 1. Copy templates/study_template/ 2. Follow templates/HOW_TO_CREATE_A_STUDY.md 3. Use numbered substudies (01_, 02_, ...) 4. Document each substudy with README.md **For Existing Studies**: - Can migrate using reorganize_study.py - Or apply organization v2.0 to new substudies only - See docs/STUDY_ORGANIZATION.md for migration guide 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 19:20:45 -05:00
# Substudy NN: [Descriptive Name]
**Date**: YYYY-MM-DD
**Status**: [planned | running | completed | failed]
**Trials**: N
## Purpose
[Why was this substudy created? What hypothesis is being tested?]
Example:
- Validate parameter update mechanism
- Explore promising design region identified in previous run
- Test relaxed constraint settings
- Sensitivity analysis for specific parameter
## Configuration Changes
**From Previous Substudy** (or baseline):
[List what changed compared to previous substudy or baseline config]
Examples:
- Increased beam thickness bounds from 40mm to 60mm
- Changed displacement constraint from 10mm to 12.5mm
- Adjusted objective weights: displacement 50% (was 33%), stress 25% (was 33%), mass 25% (was 34%)
- Narrowed hole_count range to 9-13 (was 5-15)
- Increased trial count from 10 to 50
**Design Variables**:
- `var1`: min-max units [if changed, note it]
- `var2`: min-max units
**Objectives**:
- objective1: weight [if changed, note it]
- objective2: weight
**Sampler**: [TPE | Random | Grid | etc.]
## Expected Outcome
[What do you hope to learn or achieve?]
Examples:
- Find feasible designs meeting relaxed constraint
- Identify which parameter has most impact on displacement
- Validate that hole_count updates correctly
- Achieve 10% improvement over best result from substudy 03
## Actual Results
[Fill in after completion]
**Status**: [✅ SUCCESS | ⚠️ PARTIAL | ❌ FAILED]
**Best Trial**: #XX
- Objective: XXX
- Key metrics: [e.g., displacement: X.X mm, mass: XXXX kg]
- Feasible: [Yes/No]
**Key Findings**:
- Finding 1
- Finding 2
- Finding 3
**Statistics**:
- Total trials: XX
- Feasible designs: N / N_total (XX%)
- Best objective: XXX
- Improvement over previous: XX%
## Validation
[If this was a validation run, document what was validated]
Examples:
- ✅ All design variables updated correctly
- ✅ FEA results reflect parameter changes
- ✅ Mesh regenerated properly
- ✅ Expression import via .exp method works
## Lessons Learned
[What did we learn that wasn't expected?]
Examples:
- Optimizer consistently pushes beam thickness to maximum bounds
- hole_count has minimal impact on displacement (< 5% variation)
- Constraint appears infeasible with current design variable ranges
- TPE sampler converges after ~30 trials
## Visualization
[Link to generated plots if available]
- [convergence.pdf](plots/convergence.pdf)
- [design_space_evolution.pdf](plots/design_space_evolution.pdf)
- [parallel_coordinates.pdf](plots/parallel_coordinates.pdf)
## Next Steps
[What should be done next based on these results?]
Examples:
- → Substudy 05: Run refined search with narrowed parameter bounds
- → Increase beam thickness limit to 80mm to meet constraint
- → Perform sensitivity analysis to identify most important parameters
- → Study complete - recommend design #43 for detailed validation
---
**Files**:
- Configuration: `config.json`
- Results: `history.json`, `best_trial.json`
- Detailed Analysis: `OPTIMIZATION_RESULTS.md` (if significant findings)