J.E. Garay Labra 1 year ago
parent
commit
842a3fbcc6
  1. 21
      kalman/graphics/figure2.py
  2. 30
      kalman/input_files/aorta_C.yaml

21
kalman/graphics/figure2.py

@ -52,30 +52,37 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None): @@ -52,30 +52,37 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
inputfile = yaml.full_load(file)
#true_val = [10,250,250,250,30]
true_val = [10,60,220,160,100]
true_values = {
3: 10,
4: 60,
5: 220,
6: 160,
2: 100
}
current_val = []
labels = []
ids = []
for bnd_c in inputfile['estimation']['boundary_conditions']:
if 'windkessel' in bnd_c['type']:
for bnd_set in inputfile['boundary_conditions']:
if bnd_c['id'] == bnd_set['id']:
ids.append(bnd_c['id'])
current_val.append(bnd_set['value'][0])
labels.append('R_' + str(bnd_c['id']))
elif 'dirichlet' in bnd_c['type']:
current_val.append(inputfile['boundary_conditions'][1]['parameters']['U'])
ids.append(bnd_c['id'])
labels.append('U')
dim = dat['theta'].shape[-1]
fig1, axes = plt.subplots(1,1,figsize=(8,6))
axes.set_ylabel(r'$\theta$',fontsize=18)
t = dat['times']
@ -104,7 +111,7 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None): @@ -104,7 +111,7 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
color=col_)
true_level = np.log(true_val[i]/current_val[i])/np.log(2)
true_level = np.log(true_values[ids[i]]/current_val[i])/np.log(2)
axes.plot(t,1.5*i + t*0 + true_level , color=col_,ls='--')
col_ = next(col)
legends_=next(legends)
@ -115,8 +122,8 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None): @@ -115,8 +122,8 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
# print('theta_peak: \t {}'.format(theta[round(len(theta)/2), :]))
print('Final value theta: \t {}'.format(theta[-1, :]))
print('Deparameterized: 2^theta_end: \t {}'.format(2**theta[-1, :]))
print('Real values: \t {}'.format(true_val))
print('Recon values: \t {}'.format(np.round(2**theta[-1, :]*current_val,2)))
print('Real values: \t {}'.format(true_values))
print('Recon values: \t {a}:{b} '.format(a=ids[:],b=np.round(2**theta[-1, :]*current_val,2)))

30
kalman/input_files/aorta_C.yaml

@ -40,31 +40,31 @@ boundary_conditions: @@ -40,31 +40,31 @@ boundary_conditions:
-
id: 3
type: 'windkessel'
#value: [10,0,0]
value: [10,0.0008,2400]
p0: [80,1333.223874]
#p0: [0,1333.223874]
value: [10,0,0]
#value: [10,0.0008,2400] # [R_p,C,R_d] SEPARAR
#p0: [80,1333.223874]
p0: [0,1333.223874]
-
id: 4
type: 'windkessel'
value: [60,0,0]
#value: [60,0.00034,4200]
p0: [80,1333.223874]
#p0: [0,1333.223874]
#p0: [80,1333.223874]
p0: [0,1333.223874]
-
id: 5
type: 'windkessel'
value: [220,0,0]
#value: [220,0.00034,11000]
p0: [80,1333.223874]
#p0: [0,1333.223874]
#p0: [80,1333.223874]
p0: [0,1333.223874]
-
id: 6
type: 'windkessel'
value: [160,0,0]
#value: [160,0.00034,7800]
p0: [80,1333.223874]
#p0: [0,1333.223874]
#p0: [80,1333.223874]
p0: [0,1333.223874]
timemarching:
velocity_pressure_coupling: 'fractionalstep' # monolithic, fractionalstep
@ -128,14 +128,14 @@ linear_solver: @@ -128,14 +128,14 @@ linear_solver:
estimation:
boundary_conditions:
-
id: 3
type: 'windkessel'
initial_stddev: 1
#-
# id: 4
# id: 3
# type: 'windkessel'
# initial_stddev: 1
-
id: 4
type: 'windkessel'
initial_stddev: 1
#-
# id: 5
# type: 'windkessel'

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