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>
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
"""Quick test to verify expression updates are working"""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent))
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from optimization_engine.nx_solver import NXSolver
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from optimization_engine.nx_updater import NXParameterUpdater
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study_dir = Path(__file__).parent
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prt_file = study_dir / "model" / "Bracket.prt"
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sim_file = study_dir / "model" / "Bracket_sim1.sim"
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print("Testing expression update workflow...")
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print()
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# Test with two different parameter sets
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test_params = [
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{'tip_thickness': 15.0, 'support_angle': 25.0},
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{'tip_thickness': 25.0, 'support_angle': 35.0},
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]
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updater = NXParameterUpdater(prt_file_path=prt_file)
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solver = NXSolver(nastran_version='2412', use_journal=True)
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for i, params in enumerate(test_params):
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print(f"Trial {i}: tip_thickness={params['tip_thickness']}, support_angle={params['support_angle']}")
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# Update .prt file
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updater.update_expressions(params)
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updater.save()
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# Run simulation WITH expression_updates
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result = solver.run_simulation(sim_file, expression_updates=params)
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if result['success']:
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print(f" SUCCESS: OP2 generated")
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# Read OP2 to check displacement
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from pyNastran.op2.op2 import OP2
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model = OP2()
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model.read_op2(str(result['op2_file']))
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if hasattr(model, 'displacements') and model.displacements:
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disp = model.displacements[1]
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max_disp = abs(disp.data[:, :3]).max()
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print(f" Max displacement: {max_disp:.6f} mm")
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print()
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else:
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print(f" FAILED")
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print()
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print("If the two displacement values are DIFFERENT, the fix worked!")
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