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e079927b84
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e079927b84 | ||
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0fb8ccae73 |
35
functions.py
35
functions.py
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@ -9,6 +9,7 @@ import pandas as pd
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import tkinter as tk
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import tkinter as tk
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from statistics import mean
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from statistics import mean
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from scipy.signal import find_peaks
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from scipy.signal import find_peaks
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import matplotlib.transforms as mtransforms
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def error_plot(folder,t_step,r_criteria,save):
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def error_plot(folder,t_step,r_criteria,save):
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@ -118,6 +119,40 @@ def flow(folder,N_ts,T_cyc,dt,n_cyc):
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plt.show()
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plt.show()
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return Q
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return Q
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def inlet_flow_waveform(project_folder,t_btw_rst,N_ts,dt,T_cyc,n_cyc):
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x = np.loadtxt(project_folder+'/ROI-1.flow')
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t = x[:,0]
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Q = -x[:,1]
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Nt_pts = np.linspace(t_btw_rst,N_ts,int(N_ts/t_btw_rst))
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t_pts = Nt_pts*dt
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# Put all the time values on a single cardiac cylce
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for n in range(len(t_pts)):
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tmp=divmod(t_pts[n],T_cyc)
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t_pts[n]=tmp[1]
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if round(tmp[1],3) == 0:
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t_pts[n]=T_cyc
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# Interpolate the flow rate to obtain the location of the point
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Q_pts = np.interp(t_pts, t, Q)
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fig, ax = plt.subplots()
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ax.plot(t, Q, 'r')
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ax.plot(t_pts, Q_pts, 'ob')
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trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,
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x=-0, y=0.15, units='inches')
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ax.set(xlabel='Time [s]', ylabel='Flow Rate - Q [mL/s]',
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title='Inlet Flow rate Waveform - 1 cycle')
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ax.set_ylim([-10, 90])
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ax.spines['right'].set_visible(False)
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ax.spines['top'].set_visible(False)
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# Adding label to the points
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time = []
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for i in range(0,np.unique(np.round(t_pts,3)).shape[0]):
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time.append('$t_'+str(i+1)+'$')
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for x, y, t in zip(t_pts[(-n_cyc-1):], Q_pts[(-n_cyc-1):], time):
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plt.text(x, y, t, transform=trans_offset, fontsize=12)
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plt.show()
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16
main.py
16
main.py
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@ -13,7 +13,7 @@ from scipy import signal
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import statistics
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import statistics
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from functions import error_plot, periodicity, pressure, flow
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from functions import error_plot, periodicity, pressure, flow, inlet_flow_waveform
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# Selct dir
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# Selct dir
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Tk().withdraw()
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Tk().withdraw()
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@ -31,25 +31,25 @@ mylines = [] # Declare an empty list named mylines.
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with open (project_folder + '/solver.inp', 'rt') as myfile: # Open lorem.txt for reading text data.
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with open (project_folder + '/solver.inp', 'rt') as myfile: # Open lorem.txt for reading text data.
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for myline in myfile: # For each line, stored as myline,
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for myline in myfile: # For each line, stored as myline,
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mylines.append(myline) # add its contents to mylines.
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mylines.append(myline) # add its contents to mylines.
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# print(mylines)
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# Number of Timesteps - idx 3
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# Number of Timesteps - idx 3
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# Idea: remove the text to extract the number, the text part will be the same no matter the simulation
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# Idea: remove the text to extract the number, the text part will be the same no matter the simulation
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N_ts = int(mylines[3][20:-1])
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N_ts = int(mylines[3][20:-1])
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# Time Step Size - idx 4
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# Time Step Size - idx 4
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dt = float(mylines[4][16:-1])
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dt = float(mylines[4][16:-1])
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# Residual criteria - idx 4
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# Residual criteria - idx 4
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rc = float(mylines[26][18:-1])
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rc = float(mylines[26][18:-1])
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# Imesteps between Restarts - idx 6
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t_btw_rst = int(mylines[6][37:-1])
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# Cehcking convergency and periodicity
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# Cehcking convergency and periodicity
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error_plot(folder,dt,rc,False)
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error_plot(folder,dt,rc,False)
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periodicity(project,folder,dt,T_cyc,n_cyc)
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periodicity(project,folder,dt,T_cyc,n_cyc)
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# Pressure
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# Pressure - Outlets
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(DBP,MBP,SBP,PP) = pressure(folder,N_ts,T_cyc,dt,n_cyc)
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(DBP,MBP,SBP,PP) = pressure(folder,N_ts,T_cyc,dt,n_cyc)
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# Flow Rate
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# Flow Rate - Outlets
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(Q_avg) = flow(folder,N_ts,T_cyc,dt,n_cyc)
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(Q_avg) = flow(folder,N_ts,T_cyc,dt,n_cyc)
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# Inlet Flow Rate + and t saved
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inlet_flow_waveform(project_folder,t_btw_rst,N_ts,dt,T_cyc,n_cyc)
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