## Removed Duplicate Directories - Deleted old `dashboard/` (replaced by atomizer-dashboard) - Deleted old `mcp_server/` Python tools (moved model_discovery to optimization_engine) - Deleted `tests/mcp_server/` (obsolete tests) - Deleted `launch_dashboard.bat` (old launcher) ## Consolidated Code - Moved `mcp_server/tools/model_discovery.py` to `optimization_engine/model_discovery/` - Updated import in `optimization_config_builder.py` - Deleted stub `extract_mass.py` (use extract_mass_from_bdf instead) - Deleted unused `intelligent_setup.py` and `hybrid_study_creator.py` - Archived `result_extractors/` to `archive/deprecated/` ## Documentation Cleanup - Deleted deprecated `docs/06_PROTOCOLS_DETAILED/` (14 files) - Archived dated dev docs to `docs/08_ARCHIVE/sessions/` - Archived old plans to `docs/08_ARCHIVE/plans/` - Updated `docs/protocols/README.md` with SYS_15 ## Skills Consolidation - Archived redundant study creation skills to `.claude/skills/archive/` - Kept `core/study-creation-core.md` as canonical ## Housekeeping - Updated `.gitignore` to prevent `nul` and `_dat_run*.dat` 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
128 lines
4.3 KiB
Python
128 lines
4.3 KiB
Python
"""
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Extract von Mises stress from solid and shell elements
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Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
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Pattern: element_stress
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Element Types: CTETRA, CHEXA, CPENTA (solids), CQUAD4, CTRIA3 (shells)
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Result Type: stress
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API: model.ctetra_stress[subcase], model.cquad4_stress[subcase], etc.
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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_solid_stress(op2_file: Path, subcase: int = 1, element_type: str = 'auto'):
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"""
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Extract stress from solid or shell elements.
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Args:
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op2_file: Path to OP2 file
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subcase: Subcase number (default 1)
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element_type: Element type ('ctetra', 'chexa', 'cquad4', 'ctria3', or 'auto')
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'auto' will detect available element types
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Returns:
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Dict with max von Mises stress and element info
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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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# Auto-detect element type if requested
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if element_type == 'auto':
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# Try common element types in order
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# pyNastran uses "stress.{element}_stress" as attribute names (with dot in name!)
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possible_types = ['cquad4', 'ctria3', 'ctetra', 'chexa', 'cpenta']
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element_type = None
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for elem_type in possible_types:
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stress_attr = f"stress.{elem_type}_stress"
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try:
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stress_dict = getattr(model, stress_attr, None)
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if isinstance(stress_dict, dict) and subcase in stress_dict:
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element_type = elem_type
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break
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except AttributeError:
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continue
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if element_type is None:
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raise ValueError(f"No stress results found in OP2 for subcase {subcase}")
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# Get stress object for element type
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# pyNastran stores stress as "stress.{element}_stress" (e.g., "stress.cquad4_stress")
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stress_attr = f"stress.{element_type}_stress"
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try:
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stress_dict = getattr(model, stress_attr)
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except AttributeError:
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raise ValueError(f"No {element_type} stress results in OP2")
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if not isinstance(stress_dict, dict) or subcase not in stress_dict:
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raise ValueError(f"Subcase {subcase} not found in {element_type} stress results")
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stress = stress_dict[subcase]
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itime = 0
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# Extract von Mises
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# For CQUAD4/CTRIA3 (shells): data shape is [ntimes, nelements, 8]
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# Columns: [fiber_distance, oxx, oyy, txy, angle, omax, omin, von_mises]
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# Column 7 (0-indexed) is von Mises
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#
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# For CTETRA/CHEXA (solids): Column 9 is von Mises
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if element_type in ['cquad4', 'ctria3']:
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# Shell elements - von Mises is at column 7
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von_mises = stress.data[itime, :, 7]
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else:
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# Solid elements - von Mises is at column 9
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von_mises = stress.data[itime, :, 9]
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# Raw stress values from OP2 (in internal Nastran units)
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max_stress_raw = float(np.max(von_mises))
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min_stress_raw = float(np.min(von_mises))
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avg_stress_raw = float(np.mean(von_mises))
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# Convert to MPa
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# For MN-MM unit system (UNITSYS=MN-MM), Nastran outputs stress with implied decimal
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# The raw value needs to be divided by 1000 to get MPa
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# Example: 131507.1875 (raw) = 131.507 MPa
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max_stress_mpa = max_stress_raw / 1000.0
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min_stress_mpa = min_stress_raw / 1000.0
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avg_stress_mpa = avg_stress_raw / 1000.0
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# Get element info
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if hasattr(stress, 'element_node'):
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element_ids = stress.element_node[:, 0] # First column is element ID
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elif hasattr(stress, 'element'):
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element_ids = stress.element
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else:
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element_ids = np.arange(len(von_mises))
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max_stress_elem = int(element_ids[np.argmax(von_mises)])
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return {
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'max_von_mises': max_stress_mpa,
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'min_von_mises': min_stress_mpa,
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'avg_von_mises': avg_stress_mpa,
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'max_stress_element': max_stress_elem,
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'element_type': element_type,
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'num_elements': len(von_mises),
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'units': 'MPa'
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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_solid_stress(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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