Anto01
2b3573ec42
Major additions: - Training data export system for AtomizerField neural network training - Bracket stiffness optimization study with 50+ training samples - Intelligent NX model discovery (auto-detect solutions, expressions, mesh) - Result extractors module for displacement, stress, frequency, mass - User-generated NX journals for advanced workflows - Archive structure for legacy scripts and test outputs - Protocol documentation and dashboard launcher 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
"""
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Extract mass from Nastran BDF/DAT file as fallback when OP2 doesn't have GRDPNT
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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 re
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def extract_mass_from_bdf(bdf_file: Path) -> Dict[str, Any]:
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"""
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Extract mass from Nastran BDF file by parsing material and element definitions.
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This is a fallback when OP2 doesn't have PARAM,GRDPNT output.
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Args:
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bdf_file: Path to .dat or .bdf file
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Returns:
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dict: {
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'mass_kg': total mass in kg,
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'mass_g': total mass in grams,
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'method': 'bdf_calculation'
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}
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"""
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bdf_file = Path(bdf_file)
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if not bdf_file.exists():
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raise FileNotFoundError(f"BDF file not found: {bdf_file}")
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# Parse using pyNastran BDF reader
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from pyNastran.bdf.bdf import read_bdf
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model = read_bdf(str(bdf_file), validate=False, xref=True, punch=False,
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encoding='utf-8', log=None, debug=False, mode='msc')
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# Calculate total mass by summing element masses
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# model.mass_properties() returns (mass, cg, inertia)
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mass_properties = model.mass_properties()
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mass_ton = mass_properties[0] # Mass in tons (ton-mm-sec)
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# NX Nastran typically uses ton-mm-sec units
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mass_kg = mass_ton * 1000.0 # Convert tons to kg
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mass_g = mass_kg * 1000.0 # Convert kg to grams
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return {
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'mass_kg': mass_kg,
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'mass_g': mass_g,
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'mass_ton': mass_ton,
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'method': 'bdf_calculation',
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'units': 'ton-mm-sec (converted to kg/g)'
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}
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if __name__ == '__main__':
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import sys
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if len(sys.argv) > 1:
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bdf_file = Path(sys.argv[1])
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result = extract_mass_from_bdf(bdf_file)
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print(f"Mass from BDF: {result['mass_kg']:.6f} kg ({result['mass_g']:.3f} g)")
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else:
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print(f"Usage: python {sys.argv[0]} <bdf_file>")
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