66 lines
2.4 KiB
Python
Executable File
66 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python3
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from pathlib import Path
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import os
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import numpy as np
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from scipy import interpolate
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from matplotlib import pyplot as plt
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import damask
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# material.yaml
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example_dir = Path.home()/'DAMASK/examples/config/phase'
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phase = damask.ConfigMaterial.load(example_dir/'Cu.yaml')
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phase['mechanical'] = {'output': ['F','P']}
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phase['mechanical']['elastic'] = damask.ConfigMaterial.load(example_dir/'mechanical/elastic/Hooke_Cu.yaml')
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phase['mechanical']['plastic'] = damask.ConfigMaterial.load(example_dir/'mechanical/plastic/phenopowerlaw_Cu.yaml')
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mat = damask.ConfigMaterial()
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mat['phase']['Cu'] = phase
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mat['homogenization']['SX'] = {'N_constituents': 1,'mechanical': {'type': 'pass'}}
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# load
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load = damask.Config()
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load['solver'] = {'mechanical': 'spectral_basic'}
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load['loadstep'] = [{'boundary_conditions': {'mechanical': {'dot_F': [[3e-3,'x','x'],[0,'x','x'],[0,0,'x']],
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'P': [['x',0,0],['x',0,0],['x','x',0]]}},
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'discretization': {'t': 100, 'N': 100}}]
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# grid
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grid = damask.Grid(np.zeros([2,2,2],int),np.ones(3)*1e-5)
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# crystallographic directions
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samples = {'001':[[0,0,1],[0,1,0]],'111':[[1,1,1],[0,1,-1]]}
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# reference results
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reference = {}
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for label,directions in samples.items():
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ref_data = damask.Table.load('Takeuchi1975_Fig3b_'+label+'.txt')
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reference[label] = [ref_data.get('epsilon')[:,0]*.01,ref_data.get('sigma')[:,0]*1e6]
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results = {}
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for label,directions in samples.items():
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os.makedirs(label, exist_ok=True)
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grid.save('/'.join([label,'2x2x2.vti']))
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load.save('/'.join([label,'tensionX.yaml']))
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ori = damask.Orientation.from_directions(directions[0],directions[1],lattice='cF')
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mat_c = mat.material_add(O=ori,phase='Cu',homogenization='SX')
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mat_c.save('/'.join([label,'material.yaml']))
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damask.util.execute(f'DAMASK_grid -l tensionX.yaml -g 2x2x2.vti --wd {label}')
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r = damask.Result('/'.join([label,'2x2x2_tensionX.hdf5']))
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results[label] = [np.array([np.average(F[:,0,0]-1) for F in r.get('F').values()]),
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np.array([np.average(P[:,0,0]) for P in r.get('P').values()])]
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color = 'tab:blue' if label == '111' else 'tab:orange'
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plt.plot(results[label][0],results[label][1],label=label+'_sim',color=color,linestyle=':')
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plt.plot(reference[label][0],reference[label][1],label=label+'_exp',color=color,linestyle='-')
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plt.savefig('Takeuchi1975_Fig3b.pdf')
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