def create_plot_data_exp_nth_cycle(name,
nth_cycle,
figure_path=None,
figure_name=None):
#==============================================================================
# x,y label
#==============================================================================
xlabel = xylabels['axial_strain']
ylabel = xylabels['axial_stress']
#==============================================================================
# plot lines
#==============================================================================
i = 0
marker_list = ['s', 'o', '^', 'D']
plot_data = PlotData()
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
strain = experiment.obtainNthCycle('axial_strain', nth_cycle)
stress = experiment.obtainNthCycle('axial_stress', nth_cycle)
plot_data.addLine(strain * 100,
stress,
xlabel=xlabel,
ylabel=ylabel,
linelabel='',
linewidth=2,
linestyle='-',
marker=None,
markersize=12,
color='auto')
i += 1
plot_data.writeToFile(figure_path, figure_name)
def plot_exp_pv(names,item='axial_stress'):
for name in names:
experiment_log = ExperimentLog(ExperimentLogFile)
experiment_log.output(name)
regular = r'.*'
load_type = experiment_log.obtainItem(name,'load_type',regular)[0]
regular = r'\d+\.?\d*'
temperature_mode = experiment_log.obtainItem(name,'temperature_mode',regular)
if len(temperature_mode) == 1:
temperature_list = [float(temperature_mode[0]), float(temperature_mode[0])]
if len(temperature_mode) == 2:
temperature_list = [float(temperature_mode[0]), float(temperature_mode[1])]
d_out = float(experiment_log.obtainItem(name,'d_out',regular)[0])
gauge_length = float(experiment_log.obtainItem(name,'gauge_length',regular)[0])
axial_strain = float(experiment_log.obtainItem(name,'axial_strain',regular)[0])
angel_strain = float(experiment_log.obtainItem(name,'angel_strain',regular)[0])
equivalent_strain = float(experiment_log.obtainItem(name,'equivalent_strain',regular)[0])
period = float(experiment_log.obtainItem(name,'period',regular)[0])
axial_temperature_phase = float(experiment_log.obtainItem(name,'axial_temperature_phase',regular)[0])
exp_filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(exp_filename)
cycle,peak,valley = experiment.obtainPeakValley(item)
plt.plot(cycle,peak)
plt.plot(cycle,valley)
plt.xscale('log')
# plt.yscale('log')
plt.show()
plt.close()
def create_plot_data_exp_half_life_cycle(figure_path=None,figure_name=None):
#==============================================================================
# x,y label
#==============================================================================
xlabel = xylabels['axial_strain']
ylabel = xylabels['axial_stress']
#==============================================================================
# plot lines
#==============================================================================
i = 0
marker_list = ['s','o','^','D']
plot_data = PlotData()
# for name in experiment_type_dict['TC-IF']:
for name in ['08','16']:
# print name
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
# print experiment.half_life_cycle
strain = experiment.obtainNthCycle('axial_strain',experiment.half_life_cycle)
stress = experiment.obtainNthCycle('axial_stress',experiment.half_life_cycle)
plot_data.addLine(strain*100,
stress,
xlabel=xlabel,
ylabel=ylabel,
linelabel='',
linewidth=2,
linestyle='-',
marker=None,
markersize=12,
color='auto')
i += 1
plot_data.writeToFile(figure_path,figure_name)
def plot_exp_vs_sim_pv(name,item='axial_stress',save_types=['.png','.pdf']):
experiment_log = ExperimentLog(ExperimentLogFile)
experiment_log.output(name)
regular = r'.*'
load_type = experiment_log.obtainItem(name,'load_type',regular)[0]
regular = r'\d+\.?\d*'
temperature_mode = experiment_log.obtainItem(name,'temperature_mode',regular)
if len(temperature_mode) == 1:
temperature_list = [float(temperature_mode[0]), float(temperature_mode[0])]
if len(temperature_mode) == 2:
temperature_list = [float(temperature_mode[0]), float(temperature_mode[1])]
d_out = float(experiment_log.obtainItem(name,'d_out',regular)[0])
gauge_length = float(experiment_log.obtainItem(name,'gauge_length',regular)[0])
axial_strain = float(experiment_log.obtainItem(name,'axial_strain',regular)[0])
angel_strain = float(experiment_log.obtainItem(name,'angel_strain',regular)[0])
equivalent_strain = float(experiment_log.obtainItem(name,'equivalent_strain',regular)[0])
period = float(experiment_log.obtainItem(name,'period',regular)[0])
axial_temperature_phase = float(experiment_log.obtainItem(name,'axial_temperature_phase',regular)[0])
sim_filename = SimulationDirectory + name + '.csv'
simulation = SimulationData(sim_filename,period)
cycle,peak,valley = simulation.obtainPeakValley(item)
plt.plot(cycle,peak,label='sim')
plt.plot(cycle,valley,label='sim')
exp_filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(exp_filename)
cycle,peak,valley = experiment.obtainPeakValley(item)
plt.plot(cycle,peak,label='exp')
plt.plot(cycle,valley,label='exp')
plt.xscale('log')
# plt.yscale('log')
plt.legend(loc=0)
figure_path = ArticleFigureDirectory
figure_name = name + '_' + item + '_pv'
if not os.path.isdir(ArticleFigureDirectory):
os.makedirs(ArticleFigureDirectory)
print 'Create new directory:',ArticleFigureDirectory
if figure_path <> None and figure_name<> None:
for save_type in save_types:
plt.savefig(figure_path + figure_name + save_type, dpi=150, transparent=True)
print 'save as', figure_path + figure_name + save_type
plt.show()
plt.close()
def create_plot_data_exp_half_life_cycle(figure_path=None,figure_name=None):
#==============================================================================
# x,y label
#==============================================================================
xlabel = xylabels['axial_strain']
ylabel = xylabels['axial_stress']
#==============================================================================
# plot lines
#==============================================================================
i = 0
marker_list = ['s','o','^','D']
plot_data = PlotData()
for name in ['7116','7111','7115','7114']:
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
strain = experiment.obtainNthCycle('axial_strain',experiment.half_life_cycle)
stress = experiment.obtainNthCycle('axial_stress',experiment.half_life_cycle)
plot_data.addLine(strain*100,
stress,
xlabel=xlabel,
ylabel=ylabel,
linelabel='',
linewidth=2,
linestyle='-',
marker=None,
markersize=12,
color='auto')
i += 1
material = material_in718()
epsilon,sigma = material.plotCyclicStrengthCoefficient()
plot_data.addLine(epsilon*100,
sigma,
xlabel=xlabel,
ylabel=ylabel,
linelabel='Ramberg-Osgood',
linewidth=4,
linestyle='--',
marker=None,
markersize=12,
color='black')
plot_data.writeToFile(figure_path,figure_name)
def create_plot_data_exp_temperature(figure_path=None,figure_name=None):
#==============================================================================
# x,y label
#==============================================================================
xlabel = xylabels['runing_time']
ylabel = xylabels['temperature']
#==============================================================================
# plot lines
#==============================================================================
i = 0
marker_list = ['s','o','^','D']
plot_data = PlotData()
# for name in ['30_0_','50_0_','70_0_','90_0_']:
# for name in ['30_25_','50_25_','70_25_','90_25_']:
# for name in ['30_50_','50_50_','70_50_','90_50_']:
for name in ['30_67_','50_67_','70_67_','90_67_']:
# for name in ['90_0_','90_25_','90_50_','90_67_']:
# for name in ['70_0_','70_25_','70_50_','70_67_']:
# for name in ['50_0_','50_25_','50_50_','50_67_']:
# for name in ['30_0_','30_25_','30_50_','30_67_']:
ExperimentDirectory = 'F:\\Cloud\\Database\\IN718\\Temperature2\\'
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
time = experiment.runing_time
temperature = experiment.temperature
plot_data.addLine(time,
temperature,
xlabel=xlabel,
ylabel=ylabel,
linelabel='Exp.' + name.split('_')[0] + '%',
linewidth=2,
linestyle='--',
marker='',
markersize=6,
color='auto')
SimulationDirectory = 'F:\\Cloud\\Simulation\\Temperature\\'
filename = SimulationDirectory + name + '.csv'
simulation = SimulationData(filename,1)
time = simulation.runing_time
temperature = simulation.temperature
plot_data.addLine(time,
temperature,
xlabel=xlabel,
ylabel=ylabel,
linelabel=name.split('_')[0] + '%',
linewidth=2,
linestyle='-',
marker=None,
markersize=12,
color='auto')
i += 1
plot_data.writeToFile(figure_path,figure_name)
def calc_material_in718():
material = Material()
material.setName(name='IN718')
name = '7101' #300C
temperature = 300.0
material.setTemperature(temperature=temperature)
youngs_modulus, poisson_ratio, shear_modulus = calculate_elastic_by_temperature_in718(
temperature)
material.setMonotonic(youngs_modulus=youngs_modulus,
poisson_ratio=poisson_ratio,
yield_stress=1121.9,
K=1449.4,
n=0.041214)
name = '7103' #550C
temperature = 550.0
material.setTemperature(temperature=temperature)
youngs_modulus, poisson_ratio, shear_modulus = calculate_elastic_by_temperature_in718(
temperature)
material.setMonotonic(youngs_modulus=youngs_modulus,
poisson_ratio=poisson_ratio,
yield_stress=1081.6,
K=1398.7,
n=0.041366)
name = '7102' #650C
temperature = 650.0
material.setTemperature(temperature=temperature)
youngs_modulus, poisson_ratio, shear_modulus = calculate_elastic_by_temperature_in718(
temperature)
material.setMonotonic(youngs_modulus=youngs_modulus,
poisson_ratio=poisson_ratio,
yield_stress=1056.7,
K=1433.8,
n=0.049103)
exp_full_name = ExperimentDirectory + name + '.csv'
exp = ExperimentData(exp_full_name)
epsilon = exp.axial_strain
sigma = exp.axial_stress
plt.plot(epsilon, sigma)
material.calculateStrengthCoefficient(epsilon, sigma)
material.show()
material.plotStrengthCoefficient()
print material.K * 0.002**material.n
return material
def create_plot_data(figure_path=None,figure_name=None):
#==============================================================================
# x,y label
#==============================================================================
xlabel = xylabels['axial_strain']
ylabel = xylabels['axial_stress']
#==============================================================================
# plot lines
#==============================================================================
i = 0
marker_list = ['s','o','^','D']
plot_data = PlotData()
experiment_log = ExperimentLog(ExperimentLogFile)
for name in ['7101','7102','7103']:
experiment_log.output(name)
regular = r'.*'
load_type = experiment_log.obtainItem(name,'load_type',regular)[0]
regular = r'\d+\.?\d*'
temperature_mode = experiment_log.obtainItem(name,'temperature_mode',regular)
if len(temperature_mode) == 1:
temperature_list = [float(temperature_mode[0]), float(temperature_mode[0])]
if len(temperature_mode) == 2:
temperature_list = [float(temperature_mode[0]), float(temperature_mode[1])]
d_out = float(experiment_log.obtainItem(name,'d_out',regular)[0])
gauge_length = float(experiment_log.obtainItem(name,'gauge_length',regular)[0])
axial_strain = float(experiment_log.obtainItem(name,'axial_strain',regular)[0])
angel_strain = float(experiment_log.obtainItem(name,'angel_strain',regular)[0])
equivalent_strain = float(experiment_log.obtainItem(name,'equivalent_strain',regular)[0])
period = float(experiment_log.obtainItem(name,'period',regular)[0])
axial_temperature_phase = float(experiment_log.obtainItem(name,'axial_temperature_phase',regular)[0])
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
strain = experiment.axial_strain
stress = experiment.axial_stress
plot_data.addLine(strain*100,
stress,
xlabel=xlabel,
ylabel=ylabel,
linelabel='Exp.' + str(int(temperature_mode[0])+273)+'K',
linewidth=2,
linestyle='',
marker=marker_list[i],
markersize=12,
color=color_list[i],
skip=20)
sim_filename = SimulationDirectory + name + '.csv'
period = 200
simulation = SimulationData(sim_filename,period)
strain = simulation.axial_strain
stress = simulation.axial_stress
plot_data.addLine(strain*100,
stress,
xlabel=xlabel,
ylabel=ylabel,
linelabel='Sim.' + str(int(temperature_mode[0])+273)+'K',
linewidth=2,
linestyle='-',
marker=None,
markersize=12,
color=color_list[i])
i += 1
plot_data.writeToFile(figure_path,figure_name)
def workbench(name,
loading_cycles=None,
copy=True,
film_coefficient=0.0,
sink_temperature=0.0,
temperature_list=[],
thermal_strain_list=[0.0, -0.0],
heat_flux=0.0,
film_coefficient_outer=0.0,
film_coefficient_inner=0.0,
emissivity=0.95,
sink_temperature_inner=293.15,
sink_temperature_outer=293.15,
outer_temperature=293.15):
"""
某试件对应的边界条件下的数值模拟。
"""
experiment_log = ExperimentLog(ExperimentLogFile)
experiment_log.output(name)
regular = r'.*'
load_type = experiment_log.obtainItem(name, 'load_type', regular)[0]
regular = r'\d+\.?\d*'
temperature_mode = experiment_log.obtainItem(name, 'temperature_mode',
regular)
if temperature_list == []:
if len(temperature_mode) == 1:
temperature_list = [
float(temperature_mode[0]),
float(temperature_mode[0])
]
if len(temperature_mode) == 2:
temperature_list = [
float(temperature_mode[0]),
float(temperature_mode[1])
]
d_out = float(experiment_log.obtainItem(name, 'd_out', regular)[0])
gauge_length = float(
experiment_log.obtainItem(name, 'gauge_length', regular)[0])
axial_strain = float(
experiment_log.obtainItem(name, 'axial_strain', regular)[0])
angel_strain = float(
experiment_log.obtainItem(name, 'angel_strain', regular)[0])
equivalent_strain = float(
experiment_log.obtainItem(name, 'equivalent_strain', regular)[0])
period = float(experiment_log.obtainItem(name, 'period', regular)[0])
axial_temperature_phase = float(
experiment_log.obtainItem(name, 'axial_temperature_phase', regular)[0])
life = float(experiment_log.obtainItem(name, 'comments', regular)[0])
#==============================================================================
# material
#==============================================================================
material = Material()
material.setName(name='IN718')
material.setTemperature(temperature=650.0)
material.setMonotonic(youngs_modulus=167100.0,
poisson_ratio=0.2886,
yield_stress=1064.0)
material.setCyclicAxial(sigma_f=1034.0,
b=-0.04486,
epsilon_f=0.11499,
c=-0.52436)
material.setCyclicTorsion(tau_f=1034.0 / np.sqrt(3),
b0=-0.04486,
gamma_f=0.11499 * np.sqrt(3),
c0=-0.52436)
predicted_life = material.calculateMansonCoffinLife(equivalent_strain /
100.0)
#==============================================================================
# experiment
#==============================================================================
exp_full_name = ExperimentDirectory + name + '.csv'
if os.path.exists(exp_full_name):
exp = ExperimentData(exp_full_name)
experimental_life = exp.total_axial_count
else:
print('%s is not existed' % exp_full_name)
#==============================================================================
# load
#==============================================================================
temperature_mean = (temperature_list[0] + temperature_list[1]) / 2.0
temperature_min = min(temperature_list)
temperature_max = max(temperature_list)
load = Load(runing_time=[0],
temperature=[temperature_mean],
axial_strain=[0],
shear_strain=[0],
first_cycle_shift=1)
axial_strain = axial_strain / 100.0
shear_strain = np.deg2rad(angel_strain) * d_out / 2.0 / gauge_length
if loading_cycles == None:
loading_cycles = min(int(predicted_life / 4.0), 5000)
use_exp_data = True
thermal_strain_min = min(thermal_strain_list) / 100.0
thermal_strain_max = max(thermal_strain_list) / 100.0
#==============================================================================
# Diamond path TMF IP
#==============================================================================
if load_type == 'cyclic diamond path' and axial_temperature_phase == 0.0:
use_exp_data = False
load.setLoadBiaxial(
int(loading_cycles),
[0, period / 4.0, period / 2.0, period / 4.0 * 3.0, period], [
temperature_mean, temperature_max, temperature_mean,
temperature_min, temperature_mean
], [0, axial_strain, 0, -1 * axial_strain, 0],
[-1 * shear_strain, 0, shear_strain, 0, -1 * shear_strain])
#==============================================================================
# Proportional path TMF IP
#==============================================================================
if load_type == 'cyclic proportional path' and axial_temperature_phase == 0.0:
use_exp_data = False
load.setLoadBiaxial(
int(loading_cycles),
[0, period / 4.0, period / 2.0, period / 4.0 * 3.0, period], [
temperature_mean, temperature_max, temperature_mean,
temperature_min, temperature_mean
], [0, axial_strain, 0, -1 * axial_strain, 0],
[0, shear_strain, 0, -1 * shear_strain, 0])
#==============================================================================
# Uniaxial TMF IP
#==============================================================================
if load_type == 'cyclic tension compression' and axial_temperature_phase == 0.0:
use_exp_data = False
load.setLoadBiaxial(
int(loading_cycles),
[0, period / 4.0, period / 2.0, period / 4.0 * 3.0, period], [
temperature_mean, temperature_max, temperature_mean,
temperature_min, temperature_mean
], [0, axial_strain * 1, 0, -1 * axial_strain * 1, 0],
[0, shear_strain, 0, -1 * shear_strain, 0])
#==============================================================================
# Uniaxial TMF OP
#==============================================================================
if load_type == 'cyclic tension compression' and axial_temperature_phase == 180.0:
use_exp_data = False
load.setLoadBiaxial(
int(loading_cycles),
[0, period / 4.0, period / 2.0, period / 4.0 * 3.0, period], [
temperature_mean, temperature_min, temperature_mean,
temperature_max, temperature_mean
], [0, axial_strain, 0, -1 * axial_strain, 0],
[0, shear_strain, 0, -1 * shear_strain, 0])
#==============================================================================
# Uniaxial TMF 90
#==============================================================================
if load_type == 'cyclic tension compression' and axial_temperature_phase == 90.0:
use_exp_data = False
load.setLoadBiaxial(
int(loading_cycles),
[0, period / 4.0, period / 2.0, period / 4.0 * 3.0, period], [
temperature_min, temperature_mean, temperature_max,
temperature_mean, temperature_min
], [0, axial_strain, 0, -1 * axial_strain, 0],
[0, shear_strain, 0, -1 * shear_strain, 0])
#==============================================================================
# load from experiment data
#==============================================================================
if use_exp_data:
if loading_cycles == None:
load.setLoadFromExperiment(exp, runing_time=None)
else:
load.setLoadFromExperiment(exp,
runing_time=period * loading_cycles)
#==============================================================================
# load of convection
#==============================================================================
load.setConvection(film_coefficient, sink_temperature)
#==============================================================================
# load of thermal
#==============================================================================
load.setThermal(heat_flux, film_coefficient_outer, film_coefficient_inner,
emissivity, sink_temperature_inner, sink_temperature_outer,
outer_temperature)
#==============================================================================
# Step
#==============================================================================
# step = Step(predefined_temperature = int(exp.initial_temperature),
# time_period = int(load.total_runing_time), initial_inc = 0.005,
# min_inc = 0.0001, max_inc = 5, nonlinear = 'ON')
step = Step(predefined_temperature=temperature_mean,
time_period=int(load.total_runing_time),
initial_inc=0.00001,
min_inc=0.00000001,
max_inc=period / 40.0,
nonlinear='OFF')
#==============================================================================
# UMAT
#==============================================================================
# umat = UMAT(UMATDirectory = 'F:\\GitHub\\umat\\',
# UMATMainFile = 'MAIN_IN718.for',
# ParameterFortranFile = 'PARAMETERS_IN718_TMF.for',
# OutputFortranFile = 'OUTPUT.for',
# OutputTextFile = name + '_output.txt')
umat = UMAT(UMATDirectory='F:\\GitHub\\umat\\',
UMATMainFile='MAIN_IN718.for',
ParameterFortranFile='PARAMETERS_SS304.for',
OutputFortranFile='OUTPUT.for',
OutputTextFile=name + '_output.txt')
# umat = UMAT(UMATDirectory = 'F:\\UMAT\\Fangjie\\',
# UMATMainFile = 'AO304Tanakav6VariDamageMyisokin3.for',
# ParameterFortranFile = 'PARAMETERS_SS304.for',
# OutputFortranFile = 'OUTPUT.for',
# OutputTextFile = name + '_output.txt')
# umat = UMAT(UMATDirectory = 'F:\\UMAT\\SS304\\',
# UMATMainFile = 'MAIN_SS304.for',
# ParameterFortranFile = 'PARAMETERS_SS304.for',
# OutputFortranFile = 'OUTPUT.for',
# OutputTextFile = name + '_output.txt')
#==============================================================================
# Job
#==============================================================================
job = Job(JobName=name, UMAT=umat, Step=step, Load=load, copy=copy)
# job.allProc()
job.createDirectory()
job.copyFiles()
job.creatBatchFile()
job.createAbaqusCAE()
job.createAbaqusInput()
job.run()
job.autoPostProc()
def create_plot_data_exp_half_life_cycle(figure_path=None,figure_name=None):
#==============================================================================
# x,y label
#==============================================================================
xlabel = xylabels['shear_strain']
ylabel = xylabels['shear_stress']
#==============================================================================
# plot lines
#==============================================================================
i = 0
marker_list = ['s','o','^','D']
plot_data = PlotData()
experiment_log = ExperimentLog(ExperimentLogFile)
for name in ['7006','7007','7009']:
experiment_log.output(name)
regular = r'.*'
load_type = experiment_log.obtainItem(name,'load_type',regular)[0]
regular = r'\d+\.?\d*'
temperature_mode = experiment_log.obtainItem(name,'temperature_mode',regular)
if len(temperature_mode) == 1:
temperature_list = [float(temperature_mode[0]), float(temperature_mode[0])]
if len(temperature_mode) == 2:
temperature_list = [float(temperature_mode[0]), float(temperature_mode[1])]
d_out = float(experiment_log.obtainItem(name,'d_out',regular)[0])
gauge_length = float(experiment_log.obtainItem(name,'gauge_length',regular)[0])
axial_strain = float(experiment_log.obtainItem(name,'axial_strain',regular)[0])
angel_strain = float(experiment_log.obtainItem(name,'angel_strain',regular)[0])
equivalent_strain = float(experiment_log.obtainItem(name,'equivalent_strain',regular)[0])
period = float(experiment_log.obtainItem(name,'period',regular)[0])
axial_temperature_phase = float(experiment_log.obtainItem(name,'axial_temperature_phase',regular)[0])
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
strain = experiment.obtainNthCycle('shear_strain',experiment.half_life_cycle)
stress = experiment.obtainNthCycle('shear_stress',experiment.half_life_cycle)
plot_data.addLine(strain*100,
stress,
xlabel=xlabel,
ylabel=ylabel,
linelabel=str(int(temperature_mode[0])+273)+'K',
linewidth=2,
linestyle='-',
marker=None,
markersize=12,
color=color_list[i])
i += 1
# material = material_in718()
# epsilon,sigma = material.plotCyclicStrengthCoefficient()
# plot_data.addLine(epsilon*100,
# sigma,
# xlabel=xlabel,
# ylabel=ylabel,
# linelabel='Ramberg-Osgood',
# linewidth=4,
# linestyle='--',
# marker=None,
# markersize=12,
# color='black')
plot_data.writeToFile(figure_path,figure_name)
def create_plot_data_monotonic_cyclic_osgood(figure_path=None,
figure_name=None):
#==============================================================================
# x,y label
#==============================================================================
xlabel = xylabels['axial_strain_amplitude']
ylabel = xylabels['axial_stress_amplitude']
#==============================================================================
# plot lines
#==============================================================================
i = 0
marker_list = ['s', 'o', '^', 'D']
plot_data = PlotData()
cyclic_strain = []
cyclic_stress = []
for name in experiment_type_dict['TC-IF']:
# print name
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
# print experiment.half_life_cycle
stress = experiment.obtainNthCycle('axial_stress',
experiment.half_life_cycle)
strain = experiment.obtainNthCycle('axial_strain',
experiment.half_life_cycle)
stress_amplitude = (max(stress) - min(stress)) / 2.0
strain_amplitude = (max(strain) - min(strain)) / 2.0 * 100
cyclic_strain.append(strain_amplitude)
cyclic_stress.append(stress_amplitude)
name = '7102' # 650C monotonic tension
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
monotonic_stress = list(experiment.axial_stress)[::20]
monotonic_strain = list(experiment.axial_strain * 100.0)[::20]
plot_data.addLine(monotonic_strain,
monotonic_stress,
xlabel=xlabel,
ylabel=ylabel,
linelabel='Monotonic Exp.',
linewidth=2,
linestyle='',
marker=marker_list[i],
markersize=12,
color='blue')
i += 1
plot_data.addLine(cyclic_strain,
cyclic_stress,
xlabel=xlabel,
ylabel=ylabel,
linelabel='Cyclic Exp.',
linewidth=2,
linestyle='',
marker=marker_list[i],
markersize=12,
color='red')
i += 1
material = material_in718()
epsilon, sigma = material.plotStrengthCoefficient()
plot_data.addLine(epsilon * 100,
sigma,
xlabel=xlabel,
ylabel=ylabel,
linelabel='Monotonic Fit.',
linewidth=2,
linestyle='-',
marker=None,
markersize=12,
color='blue')
epsilon, sigma = material.plotCyclicStrengthCoefficient()
plot_data.addLine(epsilon * 100,
sigma,
xlabel=xlabel,
ylabel=ylabel,
linelabel='Cyclic Fit.',
linewidth=2,
linestyle='-',
marker=None,
markersize=12,
color='red')
plot_data.writeToFile(figure_path, figure_name)
def calculate_umat_parameters_in718(name='_output.txt'):
parameters = []
yield_stress = 300.0
show = False
# plastic_strain_list=[0.001,0.005,0.01,0.02]
plastic_strain_list = [
0.00005, 0.0001, 0.0002, 0.0005, 0.001, 0.002, 0.004, 0.01, 0.02
]
umat = UMAT(UMATDirectory='F:\\GitHub\\umat\\',
UMATMainFile='MAIN_IN718.for',
ParameterFortranFile='PARAMETERS_IN718_TMF.for',
OutputFortranFile='OUTPUT.for',
OutputTextFile=name + '_output.txt')
outfile = open(umat.ParameterFortranFileFullName, 'w')
print outfile.name
#==============================================================================
# 300C
#==============================================================================
temperature = 300.0
youngs_modulus, poisson_ratio, shear_modulus, yield_stress = calculate_elastic_by_temperature_in718(
temperature)
name = '7101'
exp_full_name = ExperimentDirectory + name + '.csv'
exp_monotonic = ExperimentData(exp_full_name)
name = '7211'
exp_full_name = ExperimentDirectory + name + '.csv'
exp_cyclic = ExperimentData(exp_full_name)
monotonic_curve = [
exp_monotonic.axial_log_strain, exp_monotonic.axial_true_stress
]
cyclic_curve = [
exp_cyclic.obtainNthCycle('axial_strain', 190),
exp_cyclic.obtainNthCycle('axial_stress', 190)
]
seg, zeta, r0, ri = obtain_kinematic_hardening_parameters(
monotonic_curve,
cyclic_curve,
position_x_list=plastic_strain_list,
yield_stress=yield_stress,
youngs_modulus=youngs_modulus,
show=show)
parameters.append([temperature, seg, zeta, r0, ri])
#==============================================================================
# 550C
#==============================================================================
temperature = 550.0
youngs_modulus, poisson_ratio, shear_modulus, yield_stress = calculate_elastic_by_temperature_in718(
temperature)
name = '7103'
exp_full_name = ExperimentDirectory + name + '.csv'
exp_monotonic = ExperimentData(exp_full_name)
name = '7212'
exp_full_name = ExperimentDirectory + name + '.csv'
exp_cyclic = ExperimentData(exp_full_name)
monotonic_curve = [
exp_monotonic.axial_log_strain, exp_monotonic.axial_true_stress
]
cyclic_curve = [
exp_cyclic.obtainNthCycle('axial_strain', 190),
exp_cyclic.obtainNthCycle('axial_stress', 190)
]
seg, zeta, r0, ri = obtain_kinematic_hardening_parameters(
monotonic_curve,
cyclic_curve,
position_x_list=plastic_strain_list,
yield_stress=yield_stress,
youngs_modulus=youngs_modulus,
show=show)
parameters.append([temperature, seg, zeta, r0, ri])
#==============================================================================
# 650C
#==============================================================================
temperature = 650.0
youngs_modulus, poisson_ratio, shear_modulus, yield_stress = calculate_elastic_by_temperature_in718(
temperature)
name = '7102'
exp_full_name = ExperimentDirectory + name + '.csv'
exp_monotonic = ExperimentData(exp_full_name)
name = '7213'
exp_full_name = ExperimentDirectory + name + '.csv'
exp_cyclic = ExperimentData(exp_full_name)
monotonic_curve = [
exp_monotonic.axial_log_strain, exp_monotonic.axial_true_stress
]
cyclic_curve = [
exp_cyclic.obtainNthCycle('axial_strain', 190),
exp_cyclic.obtainNthCycle('axial_stress', 190)
]
seg, zeta, r0, ri = obtain_kinematic_hardening_parameters(
monotonic_curve,
cyclic_curve,
position_x_list=plastic_strain_list,
yield_stress=yield_stress,
youngs_modulus=youngs_modulus,
show=show)
parameters.append([temperature, seg, zeta, r0, ri])
#==============================================================================
# output elastic
#==============================================================================
print >> outfile, """C <ELASTKIC CONSTANTS>
C <Young's modulus 3rd order fitting>
EMOD=206308.7426+(-51.20306)*TEMP+0.01109*TEMP**2
1 +(-3.84391E-05)*TEMP**3
C <Poisson's Ratio 3rd order fitting>
ENU=2.901300E-01+(1.457750E-05)*TEMP
1 +(-2.067420E-07)*TEMP**2+(2.780300E-10)*TEMP**3
EG=0.5D0*EMOD/(1.0D0+ENU)
EBULK=EMOD/(3.0D0*(1.0D0-2.0D0*ENU))
ELAM=EBULK-EG*2.0D0/3.0D0
ELAMK0=0.0D0-EG*2.0D0/3.0D0
C <YIELD STRESS>
SY=%sD0
C <KINEMATIC HARDENING PARAMETERS>
MU=0.2D0
TQ=3.0D1""" % yield_stress
#==============================================================================
# output zeta
#==============================================================================
for i in range(seg):
lines = ' ZKI(%u)=(%.2f)' % (i + 1, parameters[0][2][i])
print >> outfile, lines
#==============================================================================
# output r0
#==============================================================================
for i in range(seg):
x = np.array([parameters[0][0], parameters[2][0]])
y = np.array([parameters[0][3][i], parameters[2][3][i]])
z = np.polyfit(x, y, 1)
p = np.poly1d(z)
lines = ' R0KI(%u)=(%g)*TEMP+(%g)' % (i + 1, z[0], z[1])
print >> outfile, lines
#==============================================================================
# output r_delta
#==============================================================================
for i in range(seg):
x = np.array([parameters[0][0], parameters[2][0]])
y = np.array([parameters[0][4][i], parameters[2][4][i]])
z = np.polyfit(x, y, 1)
p = np.poly1d(z)
lines = ' RDSSKI(%u)=(%g)*TEMP+(%g)' % (i + 1, z[0], z[1])
print >> outfile, lines
#==============================================================================
# others
#==============================================================================
print >> outfile, """
C <300C 200CYCLES>
C CA1=0.4061D0
C CB1=1.2746D0
C CA2=1.0D0-CA1
C CB2=9.4506D0
C CB3=0.0D0
C <300C 800CYCLES>
C CA1=0.3073D0
C CB1=0.42549D0
C CA2=1.0D0-CA1
C CB2=5.78033D0
C CB3=0.0D0
C <550C 200CYCLES>
C CA1=0.4007D0
C CB1=0.8672D0
C CA2=1.0D0-CA1
C CB2=11.81D0
C CB3=0.0D0
C <650C 200CYCLES>
CA1=0.4163D0
CB1=0.4952D0
CA2=1.0D0-CA1
CB2=9.108D0
CB3=0.0D0
C <ISOTROPIC PARAMETERS>
YDNONPSS=000.0D0
GAMAP=5.0D1
GAMAQ=5.0D0
YDPTS=0.0D0
T1=20.0D0
M1=2.0D0
C <NONPROPORTIONAL PARAMETERS>
CCOEF=50.0D0
C <DAMAGE PARAMETERS>
PD=1000.0D0"""
outfile.close()
def create_plot_data(figure_path=None, figure_name=None):
#==============================================================================
# x,y label
#==============================================================================
xlabel = xylabels['axial_strain']
ylabel = xylabels['axial_stress']
#==============================================================================
# plot lines
#==============================================================================
i = 0
marker_list = ['s', 'o', '^', 'D']
plot_data = PlotData()
experiment_log = ExperimentLog(ExperimentLogFile)
# for name in ['7110','7111','7112','7113','7114','7115','7116']:
# for name in ['7110','7111','7112','7113','7114']:
# for name in experiment_type_dict['TC-IP'] + experiment_type_dict['TC-OP']:
# for name in experiment_type_dict['TC-OP']:
# for name in experiment_type_dict['PRO-IP']:
# for name in experiment_type_dict['NPR-IP']+experiment_type_dict['PRO-IP']+['7110','7111','7112','7113','7114']:
for name in ['7111']:
experiment_log.output(name)
regular = r'.*'
load_type = experiment_log.obtainItem(name, 'load_type', regular)[0]
regular = r'\d+\.?\d*'
temperature_mode = experiment_log.obtainItem(name, 'temperature_mode',
regular)
if len(temperature_mode) == 1:
temperature_list = [
float(temperature_mode[0]),
float(temperature_mode[0])
]
if len(temperature_mode) == 2:
temperature_list = [
float(temperature_mode[0]),
float(temperature_mode[1])
]
d_out = float(experiment_log.obtainItem(name, 'd_out', regular)[0])
gauge_length = float(
experiment_log.obtainItem(name, 'gauge_length', regular)[0])
axial_strain = float(
experiment_log.obtainItem(name, 'axial_strain', regular)[0])
angel_strain = float(
experiment_log.obtainItem(name, 'angel_strain', regular)[0])
equivalent_strain = float(
experiment_log.obtainItem(name, 'equivalent_strain', regular)[0])
period = float(experiment_log.obtainItem(name, 'period', regular)[0])
axial_temperature_phase = float(
experiment_log.obtainItem(name, 'axial_temperature_phase',
regular)[0])
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
# print experiment.axial_count_index_list
youngs_modulus, poisson_ratio, shear_modulus, yield_stress = calculate_elastic_by_temperature_in718(
650)
e_list = []
count = []
for i in experiment.axial_count_index_list[1:-1:1]:
strain = experiment.obtainNthCycle('axial_strain', i)
stress = experiment.obtainNthCycle('axial_stress', i)
p = (max(strain) - max(stress) / youngs_modulus) * 4 * i
masing = obtain_masing_curve([strain, stress])
e = obtain_youngs_modulus(masing, 0.0025)
count.append(i)
e_list.append(e)
# damage = 1.0 - np.array(e_list)/youngs_modulus
damage = 1.0 - np.array(e_list) / max(e_list)
if min(damage) <= 0:
damage += abs(min(damage))
else:
damage -= abs(min(damage))
# plot_data.addLine(masing[0]*100,
# masing[1],
# xlabel=xlabel,
# ylabel=ylabel,
# linelabel=str(int(temperature_mode[0])+273)+'K',
# linewidth=2,
# linestyle='-',
# marker=None,
# markersize=12,
# color='auto')
damage[0] = 0
# damage[1]=0
# damage[2]=0
# damage[3]=0
plot_data.addLine(count,
damage,
xlabel='Accumulated plastic strain $p$ [%]',
ylabel='Damage $D$',
linelabel=axial_strain,
linewidth=2,
linestyle='',
marker='o',
markersize=12,
color='auto')
plot_data.writeToFile(figure_path, figure_name)
def create_plot_data_exp_half_life_cycle(figure_path=None, figure_name=None):
#==============================================================================
# x,y label
#==============================================================================
xlabel = xylabels['axial_strain']
ylabel = xylabels['axial_stress']
#==============================================================================
# plot lines
#==============================================================================
i = 0
marker_list = ['s', 'o', '^', 'D']
plot_data = PlotData()
experiment_log = ExperimentLog(ExperimentLogFile)
# for name in ['7110','7111','7112','7113','7114','7115','7116']:
for name in ['7045']:
experiment_log.output(name)
regular = r'.*'
load_type = experiment_log.obtainItem(name, 'load_type', regular)[0]
regular = r'\d+\.?\d*'
temperature_mode = experiment_log.obtainItem(name, 'temperature_mode',
regular)
if len(temperature_mode) == 1:
temperature_list = [
float(temperature_mode[0]),
float(temperature_mode[0])
]
if len(temperature_mode) == 2:
temperature_list = [
float(temperature_mode[0]),
float(temperature_mode[1])
]
d_out = float(experiment_log.obtainItem(name, 'd_out', regular)[0])
gauge_length = float(
experiment_log.obtainItem(name, 'gauge_length', regular)[0])
axial_strain = float(
experiment_log.obtainItem(name, 'axial_strain', regular)[0])
angel_strain = float(
experiment_log.obtainItem(name, 'angel_strain', regular)[0])
equivalent_strain = float(
experiment_log.obtainItem(name, 'equivalent_strain', regular)[0])
period = float(experiment_log.obtainItem(name, 'period', regular)[0])
axial_temperature_phase = float(
experiment_log.obtainItem(name, 'axial_temperature_phase',
regular)[0])
filename = ExperimentDirectory + name + '.csv'
experiment = ExperimentData(filename)
print experiment.axial_count_index_list
e_list = []
count = []
for i in experiment.axial_count_index_list[2:200:50]:
strain = experiment.obtainNthCycle('axial_strain', i)
stress = experiment.obtainNthCycle('axial_stress', i)
masing = obtain_masing_curve([strain, stress])
e = obtain_youngs_modulus(masing, 0.002)
count.append(i)
e_list.append(e)
plot_data.addLine(masing[0] * 100,
masing[1],
xlabel=xlabel,
ylabel=ylabel,
linelabel=str(int(temperature_mode[0]) + 273) +
'K',
linewidth=2,
linestyle='-',
marker=None,
markersize=12,
color='auto')
# plot_data.addLine(count,
# e_list,
# xlabel=xlabel,
# ylabel=ylabel,
# linelabel='',
# linewidth=2,
# linestyle='',
# marker='o',
# markersize=12,
# color='auto')
plot_data.writeToFile(figure_path, figure_name)