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