Anto01
38abb0d8d2
Phase 3 implements automated OP2 extraction code generation using pyNastran documentation research. This completes the zero-manual-coding pipeline for FEA optimization workflows. Key Features: - PyNastranResearchAgent for automated OP2 code generation - Documentation research via WebFetch integration - 3 core extraction patterns (displacement, stress, force) - Knowledge base architecture for learned patterns - Successfully tested on real OP2 files Phase 2.9 Integration: - Updated HookGenerator with lifecycle hook generation - Added POST_CALCULATION hook point to hooks.py - Created post_calculation/ plugin directory - Generated hooks integrate seamlessly with HookManager New Files: - optimization_engine/pynastran_research_agent.py (600+ lines) - optimization_engine/hook_generator.py (800+ lines) - optimization_engine/inline_code_generator.py - optimization_engine/plugins/post_calculation/ - tests/test_lifecycle_hook_integration.py - docs/SESSION_SUMMARY_PHASE_3.md - docs/SESSION_SUMMARY_PHASE_2_9.md - docs/SESSION_SUMMARY_PHASE_2_8.md - docs/HOOK_ARCHITECTURE.md Modified Files: - README.md - Added Phase 3 completion status - optimization_engine/plugins/hooks.py - Added POST_CALCULATION hook Test Results: - Phase 3 research agent: PASSED - Real OP2 extraction: PASSED (max_disp=0.362mm) - Lifecycle hook integration: PASSED Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
74 lines
1.9 KiB
Python
74 lines
1.9 KiB
Python
"""
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Extract element forces from CBAR in Z direction from OP2
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Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
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Pattern: cbar_force
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Element Type: CBAR
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Result Type: force
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API: model.cbar_force[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_cbar_force(op2_file: Path, subcase: int = 1, direction: str = 'Z'):
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"""
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Extract forces from CBAR elements.
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Args:
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op2_file: Path to OP2 file
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subcase: Subcase ID
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direction: Force direction ('X', 'Y', 'Z', 'axial', 'torque')
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Returns:
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Dict with force statistics
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"""
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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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if not hasattr(model, 'cbar_force'):
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raise ValueError("No CBAR force results in OP2")
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force = model.cbar_force[subcase]
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itime = 0
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# CBAR force data structure:
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# [bending_moment_a1, bending_moment_a2,
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# bending_moment_b1, bending_moment_b2,
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# shear1, shear2, axial, torque]
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direction_map = {
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'shear1': 4,
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'shear2': 5,
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'axial': 6,
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'Z': 6, # Commonly axial is Z direction
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'torque': 7
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}
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col_idx = direction_map.get(direction, direction_map.get(direction.lower(), 6))
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forces = force.data[itime, :, col_idx]
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return {
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f'max_{direction}_force': float(np.max(np.abs(forces))),
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f'avg_{direction}_force': float(np.mean(np.abs(forces))),
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f'min_{direction}_force': float(np.min(np.abs(forces))),
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'forces_array': forces.tolist()
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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_cbar_force(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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