changes in figure2
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@ -30,7 +30,7 @@ def load_data(file):
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return dat
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def plot_parameters(dat, deparameterize=False, ref=None):
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def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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''' Plot the parameters in separate subplots with uncertainties.
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Args:
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@ -42,21 +42,29 @@ def plot_parameters(dat, deparameterize=False, ref=None):
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if is_ipython():
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plt.ion()
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idx_a = input_file.find('/')
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idx_b = input_file[idx_a+1::].find('/')
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name_file = input_file[idx_a+1:idx_b+idx_a+1]
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inputfile_path = 'results/' + name_file + '/input.yaml'
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inputfile_path = 'results/aorta_C/input.yaml'
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with open(inputfile_path) as file:
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inputfile = yaml.full_load(file)
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#true_val = [10,250,250,250,30]
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true_val = [94,250,683,615,30]
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true_val = [10,60,220,160,100]
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current_val = []
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current_val.append(inputfile['boundary_conditions'][2]['value'][0])
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current_val.append(inputfile['boundary_conditions'][3]['value'][0])
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current_val.append(inputfile['boundary_conditions'][4]['value'][0])
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current_val.append(inputfile['boundary_conditions'][5]['value'][0])
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current_val.append(inputfile['boundary_conditions'][1]['parameters']['U'])
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for bnd_c in inputfile['estimation']['boundary_conditions']:
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if 'windkessel' in bnd_c['type']:
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for bnd_set in inputfile['boundary_conditions']:
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if bnd_c['id'] == bnd_set['id']:
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current_val.append(bnd_set['value'][0])
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current_val.append(inputfile['boundary_conditions'][1]['parameters']['U'])
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dim = dat['theta'].shape[-1]
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fig1, axes = plt.subplots(1,1,figsize=(8,6))
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@ -72,6 +80,8 @@ def plot_parameters(dat, deparameterize=False, ref=None):
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col = cycle(['C0', 'C1', 'C2', 'C3','C4'])
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ls = cycle(['-', '-', '--', '--', ':', ':', '-.', '-.'])
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legends = cycle(['$R_3$','$R_4$','$R_5$','$R_6$','$U$'])
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#legends = cycle(['$R_3$','$U$'])
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col_ = next(col)
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ls_ = next(ls)
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@ -100,7 +110,8 @@ def plot_parameters(dat, deparameterize=False, ref=None):
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# print('theta_peak: \t {}'.format(theta[round(len(theta)/2), :]))
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print('Final value theta: \t {}'.format(theta[-1, :]))
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print('Deparameterized: 2^theta_end: \t {}'.format(2**theta[-1, :]))
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print('Real values: \t {}'.format(np.round(2**theta[-1, :]*current_val,2)))
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print('Real values: \t {}'.format(true_val))
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print('Recon values: \t {}'.format(np.round(2**theta[-1, :]*current_val,2)))
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@ -134,4 +145,4 @@ if __name__ == '__main__':
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dat = load_data(args.file)
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plot_parameters(dat, deparameterize=args.deparameterize, ref=args.ref)
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plot_parameters(dat, args.file,deparameterize=args.deparameterize, ref=args.ref)
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@ -6,7 +6,7 @@ fluid:
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dynamic_viscosity: 0.035
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io:
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write_path: 'results/aorta_C'
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write_path: 'results/aorta_master'
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restart:
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path: '' # './projects/nse_coa3d/results/test_restart2/'
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time: 0
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@ -31,32 +31,32 @@ boundary_conditions:
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-
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id: 3
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type: 'windkessel'
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#value: [10,0,0]
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#p0: [0,1333.223874]
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value: [10,1000,0.01]
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p0: [47,1333.223874]
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value: [10,0,0]
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p0: [0,1333.223874]
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#value: [10,1000,0.01]
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#p0: [47,1333.223874]
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-
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id: 4
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type: 'windkessel'
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#value: [250,0,0]
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#p0: [0,1333.223874]
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value: [250,8000,0.0001]
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p0: [47,1333.223874]
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value: [250,0,0]
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p0: [0,1333.223874]
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#value: [250,8000,0.0001]
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#p0: [47,1333.223874]
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-
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id: 5
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type: 'windkessel'
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#value: [250,0,0]
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#p0: [0,1333.223874]
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value: [250,8000,0.0001]
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p0: [47,1333.223874]
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value: [250,0,0]
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p0: [0,1333.223874]
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#value: [250,8000,0.0001]
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#p0: [47,1333.223874]
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-
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id: 6
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type: 'windkessel'
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#value: [250,0,0]
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#p0: [0,1333.223874]
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value: [250,8000,0.0001]
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p0: [47,1333.223874]
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value: [250,0,0]
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p0: [0,1333.223874]
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#value: [250,8000,0.0001]
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#p0: [47,1333.223874]
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timemarching:
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velocity_pressure_coupling: 'fractionalstep' # monolithic, fractionalstep
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@ -82,7 +82,7 @@ timemarching:
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flux_report_normalize_boundary: 1
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T: 0.8 # end time
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dt: 0.01
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dt: 0.001
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write_dt: 0.04
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checkpoint_dt: 0.04 # <= 0: only last; else value + last
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report: 1 # 0: print nothing, 1: print time step and writeout, 2: 1 + flux
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@ -120,22 +120,22 @@ linear_solver:
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estimation:
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boundary_conditions:
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#-
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# id: 3
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# type: 'windkessel'
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# initial_stddev: 1
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#-
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# id: 4
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# type: 'windkessel'
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# initial_stddev: 1
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#-
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# id: 5
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# type: 'windkessel'
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# initial_stddev: 1
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#-
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# id: 6
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# type: 'windkessel'
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# initial_stddev: 1
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-
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id: 3
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type: 'windkessel'
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initial_stddev: 1
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-
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id: 4
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type: 'windkessel'
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initial_stddev: 1
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-
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id: 5
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type: 'windkessel'
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initial_stddev: 1
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-
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id: 6
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type: 'windkessel'
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initial_stddev: 1
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-
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id: 2
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type: 'dirichlet'
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@ -147,13 +147,11 @@ estimation:
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-
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mesh: '/home/yeye/NuMRI/kalman/meshes/coaortaH3_leo2.0.h5'
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fe_degree: 1
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#xdmf_file: 'measurements/aorta_C/Perturbation/Ks12V120/u.xdmf'
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#file_root: 'measurements/aorta_C/Perturbation/Ks12V120/u{i}.h5'
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xdmf_file: 'measurements/aorta_C/u_all.xdmf'
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file_root: 'measurements/aorta_C/u{i}.h5'
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xdmf_file: 'measurements/aorta_master_s100/u_all.xdmf'
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file_root: 'measurements/aorta_master_s100/u{i}.h5'
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indices: 0 # indices of checkpoints to be processed. 0 == all
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velocity_direction: ~
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noise_stddev: 15 # standard deviation of Gaussian noise
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noise_stddev: 5 # standard deviation of Gaussian noise
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roukf:
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particles: 'simplex' # unique or simplex
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@ -6,14 +6,14 @@ fluid:
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dynamic_viscosity: 0.035
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io:
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write_path: 'results/aorta_C0_ten'
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write_path: 'results/aorta_C'
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restart:
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path: '' # './projects/nse_coa3d/results/test_restart2/'
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time: 0
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write_xdmf: True
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write_checkpoints: True
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write_hdf5_timeseries: False
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write_velocity: 'tentative' # tentative or update
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write_velocity: 'update' # tentative or update
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boundary_conditions:
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-
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@ -24,41 +24,47 @@ boundary_conditions:
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id: 2
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type: 'dirichlet'
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value: ['0','0','-U*sin(DOLFIN_PI*t/Th)*(t<=Th) + (t<=Tc)*(t>Th)*(-3.67949466208*U*sin(9*DOLFIN_PI*t/Th)*exp(-t*10))
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- U*sin(DOLFIN_PI*(t-Tc)/Th)*(t>Tc)*(t<= Tc + Th) + (t>Tc+Th)*(-3.67949466208*U*sin(9*DOLFIN_PI*(t-Tc)/Th)*exp(-(t-Tc)*10))']
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- U*sin(DOLFIN_PI*(t-Tc)/Th)*(t>Tc)*(t<= Tc + Th)
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+ (t<=2*Tc)*(t>Tc+Th)*(-3.67949466208*U*sin(9*DOLFIN_PI*(t-Tc)/Th)*exp(-(t-Tc)*10))
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- U*sin(DOLFIN_PI*(t-2*Tc)/Th)*(t>2*Tc)*(t<= 2*Tc + Th)
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+ (t<=3*Tc)*(t>2*Tc+Th)*(-3.67949466208*U*sin(9*DOLFIN_PI*(t-2*Tc)/Th)*exp(-(t-2*Tc)*10))
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- U*sin(DOLFIN_PI*(t-3*Tc)/Th)*(t>3*Tc)*(t<= 3*Tc + Th)
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+ (t<=4*Tc)*(t>3*Tc+Th)*(-3.67949466208*U*sin(9*DOLFIN_PI*(t-3*Tc)/Th)*exp(-(t-3*Tc)*10))
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- U*sin(DOLFIN_PI*(t-4*Tc)/Th)*(t>4*Tc)*(t<= 4*Tc + Th)
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+ (t<=5*Tc)*(t>4*Tc+Th)*(-3.67949466208*U*sin(9*DOLFIN_PI*(t-4*Tc)/Th)*exp(-(t-4*Tc)*10)) ']
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parameters:
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U: 30
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U: 100 #100 safe
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Th: 0.35
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Tc: 0.8
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t: 0
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-
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id: 3
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type: 'windkessel'
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#value: [10,1000,0.01] #paper corr
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#value: [94,1794,0.0014] #paper windk
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value: [94,0,0]
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p0: [0,1333.223874]
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value: [10,0.0008,2400]
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#value: [10,0,2400]
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p0: [80,1333.223874]
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#p0: [0,1333.223874]
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-
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id: 4
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type: 'windkessel'
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#value: [250,8000,0.0001] #paper corr
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#value: [250,10000,0.0004] #paper windk
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value: [250,0,0] #paper
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p0: [0,1333.223874]
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value: [60,0.00034,4200]
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#value: [60,0,4200] #safe
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p0: [80,1333.223874]
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#p0: [0,1333.223874]
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-
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id: 5
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type: 'windkessel'
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#value: [250,8000,0.0001] #paper corr
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#value: [683,12960,0.0002] #paper windk
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value: [683,0,0]
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p0: [0,1333.223874]
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value: [220,0.00034,11000]
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#value: [220,0,11000] #safe
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p0: [80,1333.223874]
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#p0: [0,1333.223874]
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-
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id: 6
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type: 'windkessel'
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#value: [250,8000,0.0001] #paper corr
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#value: [615,11664,0.0002] #paper windk
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value: [615,0,0]
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p0: [0,1333.223874]
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value: [160,0.00034,7800]
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#value: [160,0,7800] #safe
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p0: [80,1333.223874]
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#p0: [0,1333.223874]
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timemarching:
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velocity_pressure_coupling: 'fractionalstep' # monolithic, fractionalstep
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@ -83,8 +89,8 @@ timemarching:
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transpiration_bc_projection: 'robin' # robin, dirichlet
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flux_report_normalize_boundary: 1
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T: 1.6 # end time
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dt: 0.001
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T: 0.8 # end time
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dt: 0.002
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write_dt: 0.04
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checkpoint_dt: 0.04 # <= 0: only last; else value + last
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report: 1 # 0: print nothing, 1: print time step and writeout, 2: 1 + flux
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@ -148,8 +154,10 @@ estimation:
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-
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mesh: './meshes/coaortaH3_leo2.0.h5'
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fe_degree: 1
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xdmf_file: 'measurements/aorta_C/u_all.xdmf'
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file_root: 'measurements/aorta_C/u{i}.h5'
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#xdmf_file: 'measurements/aorta_C/Perturbation/Ks12V50/u_all.xdmf'
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#file_root: 'measurements/aorta_C/Perturbation/Ks12V50/u{i}.h5'
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xdmf_file: 'measurements/aorta_C_s100/u_all.xdmf'
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file_root: 'measurements/aorta_C_s100/u{i}.h5'
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indices: 0 # indices of checkpoints to be processed. 0 == all
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velocity_direction: ~
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noise_stddev: 15 # standard deviation of Gaussian noise
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@ -160,4 +168,4 @@ estimation:
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reparameterize: True
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ODV_functional:
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enable: False
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VENC: 102 # 102,120% 59,70% 42 50%, 21,25%
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VENC: 172 # 241,172
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