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Nikuradse Model.py
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Nikuradse Model.py
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from Functions import process_experiment
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from MainConfigurationFile import experimentConfig, experiments
for k, v in experimentConfig.items():
if v.get('first') and v.get('last'):
for ind in range(v.get('first'), v.get('last')+1):
experiments.append(f'{k}_rescan{ind}')
elif v.get('list'):
for ind in v.get('list'):
experiments.append(f'{k}_rescan{ind}')
else:
print(f'Experiment {k} does not have a first and last index, or a list')
#-----------------------------------------------------------------------------------------------64/re & Blasius
#reynolds range
num = np.arange(100,31600,100)
num1 = np.arange(1200,31600,100)
#64/re line
lam = pd.DataFrame(num, columns=['Reynolds Number'])
lam['64/re'] = 64/lam['Reynolds Number']
lam = np.log10(lam)
lam = lam.set_index('Reynolds Number')
#Blasius line
tur = pd.DataFrame(num1, columns=['Reynolds Number'])
tur['blasius'] = .316/(tur['Reynolds Number']**.25)
tur = np.log10(tur)
tur = tur.set_index('Reynolds Number')
#-----------------------------------------------------------------------------------------------Graph
results = dict()
for experiment in experiments:
results[experiment] = process_experiment(experiment)
print(results)
legendEntries = []
for experiment, result in results.items():
smooth, rough = [result[x] for x in ['smooth', 'rough']]
# plt.plot(smooth)
# legendEntries.append("Smooth (%s)" % experiment)
plt.plot(rough)
legendEntries.append('Rough (%s)' % experiment)
legendEntries.append('64/Re')
legendEntries.append('Blasius')
print(rough)
plt.plot(lam)
plt.plot(tur)
plt.xlabel('log Re')
plt.ylabel('log f')
plt.legend(legendEntries)
plt.grid()
plt.show()