105 lines
3.4 KiB
Python
105 lines
3.4 KiB
Python
|
"""
|
||
|
|
Script to investigate unit conversion issues in AtomizerField
|
||
|
|
"""
|
||
|
|
import json
|
||
|
|
import h5py
|
||
|
|
import numpy as np
|
||
|
|
|
||
|
|
print("="*60)
|
||
|
|
print("UNIT VALIDATION CHECK")
|
||
|
|
print("="*60)
|
||
|
|
|
||
|
|
# Load JSON metadata
|
||
|
|
with open('test_case_beam/neural_field_data.json', 'r') as f:
|
||
|
|
data = json.load(f)
|
||
|
|
|
||
|
|
# Check units
|
||
|
|
print("\n1. UNITS FROM METADATA:")
|
||
|
|
print("-"*60)
|
||
|
|
units = data['metadata']['units']
|
||
|
|
for key, value in units.items():
|
||
|
|
print(f" {key}: {value}")
|
||
|
|
|
||
|
|
# Check loads
|
||
|
|
print("\n2. APPLIED LOADS:")
|
||
|
|
print("-"*60)
|
||
|
|
loads = data['loads']
|
||
|
|
print(f" Available load types: {list(loads.keys())}")
|
||
|
|
|
||
|
|
if 'point_forces' in loads:
|
||
|
|
point_forces = loads['point_forces']
|
||
|
|
print(f" Point forces: {len(point_forces)} applied")
|
||
|
|
|
||
|
|
if point_forces:
|
||
|
|
print("\n Sample forces (first 3):")
|
||
|
|
for i in range(min(3, len(point_forces))):
|
||
|
|
force = point_forces[i]
|
||
|
|
print(f" Force {i+1}:")
|
||
|
|
print(f" Node: {force['node']}")
|
||
|
|
print(f" Magnitude: {force['magnitude']:.2e} N")
|
||
|
|
print(f" Direction: {force['direction']}")
|
||
|
|
|
||
|
|
# Load HDF5 data
|
||
|
|
print("\n3. REACTION FORCES FROM HDF5:")
|
||
|
|
print("-"*60)
|
||
|
|
with h5py.File('test_case_beam/neural_field_data.h5', 'r') as f:
|
||
|
|
reactions = f['results/reactions'][:]
|
||
|
|
|
||
|
|
# Get statistics
|
||
|
|
non_zero_reactions = reactions[np.abs(reactions) > 1e-10]
|
||
|
|
print(f" Shape: {reactions.shape}")
|
||
|
|
print(f" Min: {np.min(reactions):.2e}")
|
||
|
|
print(f" Max: {np.max(reactions):.2e}")
|
||
|
|
print(f" Mean (non-zero): {np.mean(np.abs(non_zero_reactions)):.2e}")
|
||
|
|
print(f" Max absolute: {np.max(np.abs(reactions)):.2e}")
|
||
|
|
|
||
|
|
# Check displacement for comparison
|
||
|
|
displacement = f['results/displacement'][:]
|
||
|
|
max_disp = np.max(np.abs(displacement[:, :3])) # Translation only
|
||
|
|
print(f"\n Max displacement: {max_disp:.6f} mm")
|
||
|
|
|
||
|
|
# Check stress
|
||
|
|
print("\n4. STRESS VALUES FROM HDF5:")
|
||
|
|
print("-"*60)
|
||
|
|
with h5py.File('test_case_beam/neural_field_data.h5', 'r') as f:
|
||
|
|
stress = f['results/stress/cquad4_stress/data'][:]
|
||
|
|
|
||
|
|
# Von Mises stress is in column 7 (0-indexed)
|
||
|
|
von_mises = stress[:, 7]
|
||
|
|
|
||
|
|
print(f" Shape: {stress.shape}")
|
||
|
|
print(f" Von Mises min: {np.min(von_mises):.2e} MPa")
|
||
|
|
print(f" Von Mises max: {np.max(von_mises):.2e} MPa")
|
||
|
|
print(f" Von Mises mean: {np.mean(von_mises):.2e} MPa")
|
||
|
|
|
||
|
|
# Check if values make sense
|
||
|
|
print("\n5. SANITY CHECK:")
|
||
|
|
print("-"*60)
|
||
|
|
print(f" Units claimed: force=N, stress=MPa, length=mm")
|
||
|
|
print(f" Max reaction force: {np.max(np.abs(reactions)):.2e} N")
|
||
|
|
print(f" Max von Mises: {np.max(von_mises):.2e} MPa")
|
||
|
|
print(f" Max displacement: {max_disp:.6f} mm")
|
||
|
|
|
||
|
|
# Typical beam: if force is 1000 N, stress should be ~10-100 MPa
|
||
|
|
# If reaction is 152 million N, that's 152,000 kN - VERY high!
|
||
|
|
max_reaction = np.max(np.abs(reactions))
|
||
|
|
max_stress_val = np.max(von_mises)
|
||
|
|
|
||
|
|
print(f"\n If force unit is actually kN instead of N:")
|
||
|
|
print(f" Max reaction: {max_reaction/1000:.2e} kN")
|
||
|
|
print(f" If stress unit is actually Pa instead of MPa:")
|
||
|
|
print(f" Max stress: {max_stress_val/1e6:.2e} MPa")
|
||
|
|
|
||
|
|
print("\n6. HYPOTHESIS:")
|
||
|
|
print("-"*60)
|
||
|
|
if max_reaction > 1e6:
|
||
|
|
print(" [!] Reaction forces seem TOO LARGE (>1 MN)")
|
||
|
|
print(" [!] Possible issue: pyNastran returns forces in different units")
|
||
|
|
print(" [!] Check: Nastran may export in base units (N) while expecting kN")
|
||
|
|
|
||
|
|
if max_stress_val > 1e6:
|
||
|
|
print(" [!] Stresses seem TOO LARGE (>1000 MPa)")
|
||
|
|
print(" [!] Possible issue: pyNastran returns stress in Pa, not MPa")
|
||
|
|
|
||
|
|
print("\n" + "="*60)
|