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feat: Add substudy system with live history tracking and workflow fixes

Browse Source 
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>
This commit is contained in:
Anto01
2025-11-16 21:29:54 -05:00
parent 90a9e020d8
commit 2f3afc3813
126 changed files with 15592 additions and 97 deletions
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studies/bracket_displacement_maximizing/substudies/coarse_exploration/coarse_exploration.db Normal file
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studies/bracket_displacement_maximizing/substudies/coarse_exploration/config.json Normal file
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{
"substudy_name": "coarse_exploration",
"description": "Fast coarse exploration with 20 trials across wide parameter space",
"parent_study": "bracket_displacement_maximizing",
"created_date": "2025-11-16",
"optimization": {
"algorithm": "TPE",
"direction": "minimize",
"n_trials": 20,
"n_startup_trials": 10,
"design_variables": [
{
"parameter": "tip_thickness",
"min": 15.0,
"max": 25.0,
"units": "mm"
},
{
"parameter": "support_angle",
"min": 20.0,
"max": 40.0,
"units": "degrees"
}
]
},
"continuation": {
"enabled": false
}
}

56
studies/bracket_displacement_maximizing/substudies/coarse_exploration/generated_extractors/extract_displacement.py Normal file
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"""
Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
Pattern: displacement
Element Type: General
Result Type: displacement
API: model.displacements[subcase]
"""
from pathlib import Path
from typing import Dict, Any
import numpy as np
from pyNastran.op2.op2 import OP2
def extract_displacement(op2_file: Path, subcase: int = 1):
"""Extract displacement results from OP2 file."""
from pyNastran.op2.op2 import OP2
import numpy as np
model = OP2()
model.read_op2(str(op2_file))
disp = model.displacements[subcase]
itime = 0 # static case
# Extract translation components
txyz = disp.data[itime, :, :3] # [tx, ty, tz]
# Calculate total displacement
total_disp = np.linalg.norm(txyz, axis=1)
max_disp = np.max(total_disp)
# Get node info
node_ids = [nid for (nid, grid_type) in disp.node_gridtype]
max_disp_node = node_ids[np.argmax(total_disp)]
return {
'max_displacement': float(max_disp),
'max_disp_node': int(max_disp_node),
'max_disp_x': float(np.max(np.abs(txyz[:, 0]))),
'max_disp_y': float(np.max(np.abs(txyz[:, 1]))),
'max_disp_z': float(np.max(np.abs(txyz[:, 2])))
}
if __name__ == '__main__':
# Example usage
import sys
if len(sys.argv) > 1:
op2_file = Path(sys.argv[1])
result = extract_displacement(op2_file)
print(f"Extraction result: {result}")
else:
print("Usage: python {sys.argv[0]} <op2_file>")

64
studies/bracket_displacement_maximizing/substudies/coarse_exploration/generated_extractors/extract_solid_stress.py Normal file
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"""
Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
Pattern: solid_stress
Element Type: CTETRA
Result Type: stress
API: model.ctetra_stress[subcase] or model.chexa_stress[subcase]
"""
from pathlib import Path
from typing import Dict, Any
import numpy as np
from pyNastran.op2.op2 import OP2
def extract_solid_stress(op2_file: Path, subcase: int = 1, element_type: str = 'ctetra'):
"""Extract stress from solid elements."""
from pyNastran.op2.op2 import OP2
import numpy as np
model = OP2()
model.read_op2(str(op2_file))
# Get stress object for element type
# In pyNastran, stress is stored in model.op2_results.stress
stress_attr = f"{element_type}_stress"
if not hasattr(model, 'op2_results') or not hasattr(model.op2_results, 'stress'):
raise ValueError(f"No stress results in OP2")
stress_obj = model.op2_results.stress
if not hasattr(stress_obj, stress_attr):
raise ValueError(f"No {element_type} stress results in OP2")
stress = getattr(stress_obj, stress_attr)[subcase]
itime = 0
# Extract von Mises if available
if stress.is_von_mises: # Property, not method
von_mises = stress.data[itime, :, 9] # Column 9 is von Mises
max_stress = float(np.max(von_mises))
# Get element info
element_ids = [eid for (eid, node) in stress.element_node]
max_stress_elem = element_ids[np.argmax(von_mises)]
return {
'max_von_mises': max_stress,
'max_stress_element': int(max_stress_elem)
}
else:
raise ValueError("von Mises stress not available")
if __name__ == '__main__':
# Example usage
import sys
if len(sys.argv) > 1:
op2_file = Path(sys.argv[1])
result = extract_solid_stress(op2_file)
print(f"Extraction result: {result}")
else:
print("Usage: python {sys.argv[0]} <op2_file>")

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studies/bracket_displacement_maximizing/substudies/coarse_exploration/optimization_history.json Normal file
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studies/bracket_displacement_maximizing/substudies/coarse_exploration/optimization_history_incremental.json Normal file
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11
studies/bracket_displacement_maximizing/substudies/coarse_exploration/optimization_results.json Normal file
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@@ -0,0 +1,11 @@
{
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}

36
studies/bracket_displacement_maximizing/substudies/fine_tuning/config.json Normal file
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@@ -0,0 +1,36 @@
{
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