File size: 3,156 Bytes
3c260e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | """ZPG flat plate validation plots — NASA TMR / Collaborative Testing Challenge 2022.
Required metrics (turb-prs2022 challenge):
(1) Cf vs. x
(2) u+ vs. log10(y+) at x = 0.97 (compare with theory)
Plots overlay:
- k-omega SST baseline (this submission) ../baseline_komegasst/*.dat
- Reference theory ../highfidelity/*.dat
- Optional user model (set MODEL_DIR below) same dat-file naming
Run:
python plot_profiles.py
Output:
PDFs in this directory (./plots/).
"""
import os
import sys
import numpy as np
import matplotlib
matplotlib.rcParams.update({'font.size': 14})
import matplotlib.pyplot as plt
# Import the parser shipped one level up
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')))
from dat_to_csv import read_nasa_zone_file as _read
HERE = os.path.dirname(os.path.abspath(__file__))
BASELINE = os.path.join(HERE, '..', 'baseline_komegasst')
EXPERIMENT = os.path.join(HERE, '..', 'highfidelity')
MODEL_DIR = os.environ.get('MODEL_DIR') # e.g. export MODEL_DIR=/path/to/your_model_dat_dir
BASELINE_LABEL = r'$k$-$\omega$ SST (baseline)'
EXP_LABEL = 'Coles velocity law'
MODEL_LABEL = 'Submitted model'
def _safe_read(path):
if not os.path.isfile(path):
return None
return _read(path)
# (1) Cf vs x ---------------------------------------------------------------
plt.figure(figsize=(7, 4.5))
d = _safe_read(os.path.join(BASELINE, '2DZP_cf.dat'))
if d:
for k, v in d.items():
plt.plot(v['x'], v['Cf'], '-', lw=2, color='grey', label=BASELINE_LABEL, zorder=5)
if MODEL_DIR:
d = _safe_read(os.path.join(MODEL_DIR, '2DZP_cf.dat'))
if d:
for k, v in d.items():
plt.plot(v['x'], v['Cf'], '--', lw=2, color='deeppink', label=MODEL_LABEL, zorder=10)
d = _safe_read(os.path.join(EXPERIMENT, 'cf_as_function_of_x.dat'))
if d:
colors = ['b', 'r', 'k']
for i, (k, v) in enumerate(d.items()):
plt.plot(v['x'], v['skinfr'], ':', lw=2, color=colors[i % 3], label=k.split(',')[1].strip())
plt.xlabel('x')
plt.ylabel(r'$C_f$')
plt.ylim(0.002, 0.006)
plt.xlim(0, 2)
plt.grid(); plt.legend(); plt.tight_layout(pad=0.3)
plt.savefig(os.path.join(HERE, '2DZP_cf.pdf'))
# (2) u+ vs log10(y+) at x=0.97 --------------------------------------------
plt.figure(figsize=(7, 4.5))
d = _safe_read(os.path.join(BASELINE, '2DZP_u+y+.dat'))
if d:
for k, v in d.items():
plt.plot(v['log(y+)'], v['u+'], '-', lw=2, color='grey', label=BASELINE_LABEL, zorder=5)
if MODEL_DIR:
d = _safe_read(os.path.join(MODEL_DIR, '2DZP_u+y+.dat'))
if d:
for k, v in d.items():
plt.plot(v['log(y+)'], v['u+'], '--', lw=2, color='deeppink', label=MODEL_LABEL, zorder=10)
d = _safe_read(os.path.join(EXPERIMENT, 'u+y+.dat'))
if d:
for k, v in d.items():
plt.plot(np.log10(v['y+']), v['u+'], ':', lw=2, color='k', label=EXP_LABEL)
plt.xlabel(r'$\log_{10}(y^+)$')
plt.ylabel(r'$u^+$')
plt.ylim(0, 30)
plt.xlim(-1, 4)
plt.grid(); plt.legend(); plt.tight_layout(pad=0.3)
plt.savefig(os.path.join(HERE, '2DZP_u+y+.pdf'))
print(f'Wrote plots to {HERE}')
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