File size: 4,720 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 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 | """Axisymmetric Subsonic Jet (ASJ) validation plots — NASA TMR turb-prs2022.
Required metrics (turb-prs2022 challenge):
(1) u/Ujet vs. x/Djet (centerline)
(2) u/Ujet vs. y/Djet at 5 specified stations
(3) u'v'/Ujet^2 vs. y/Djet at 5 specified stations
Compare with experiment: Bridges & Wernet ARN consensus PIV dataset (Mjet ~ 0.5).
Run:
python plot_profiles.py
Output:
PDFs in this directory (./plots/).
"""
import os, sys
import matplotlib
matplotlib.rcParams.update({'font.size': 14})
import matplotlib.pyplot as plt
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')
BASELINE_LABEL = r'$k$-$\omega$ SST (baseline)'
MODEL_LABEL = 'Submitted model'
STATION_COLORS = ['r', 'k', 'b', 'g', 'purple']
STATION_MARKERS = ['s', '^', 'v', '>', '<']
def _safe_read(path):
if not os.path.isfile(path):
return None
return _read(path)
# (1) u/Uj vs x/Dj along centerline ----------------------------------------
plt.figure(figsize=(7, 4.5))
d = _safe_read(os.path.join(BASELINE, 'ASJ_u_vs_x.dat'))
if d:
for k, v in d.items():
plt.plot(v['x/Dj'], v['u/Uj'], '-', lw=2, color='grey', label=BASELINE_LABEL, zorder=5)
if MODEL_DIR:
d = _safe_read(os.path.join(MODEL_DIR, 'ASJ_u_vs_x.dat'))
if d:
for k, v in d.items():
plt.plot(v['x/Dj'], v['u/Uj'], '--', lw=2, color='deeppink', label=MODEL_LABEL, zorder=10)
d = _safe_read(os.path.join(EXPERIMENT, 'ARN-jet-lines-expt.dat'))
if d and 'y/Dj=0' in d:
v = d['y/Dj=0']
plt.plot(v['x/Dj'], v['u/Uj'], 'k:', lw=2, label='ARN PIV (exp)')
plt.xlabel(r'$x/D_{jet}$')
plt.ylabel(r'$u/U_{jet}$')
plt.ylim(0, 1.1); plt.xlim(0, 22)
plt.grid(); plt.legend(); plt.tight_layout(pad=0.3)
plt.savefig(os.path.join(HERE, 'ASJ_u_vs_x.pdf'))
# (2) u/Uj profiles at 5 stations -------------------------------------------
plt.figure(figsize=(7, 5.5))
d = _safe_read(os.path.join(BASELINE, 'ASJ_u_at5stations.dat'))
if d:
for i, (k, v) in enumerate(d.items()):
label = BASELINE_LABEL if i == 0 else None
plt.plot(v['u/Uj'], v['y/Dj'], '-', lw=2, color=STATION_COLORS[i % 5],
label=label, zorder=5)
if MODEL_DIR:
d = _safe_read(os.path.join(MODEL_DIR, 'ASJ_u_at5stations.dat'))
if d:
for i, (k, v) in enumerate(d.items()):
label = MODEL_LABEL if i == 0 else None
plt.plot(v['u/Uj'], v['y/Dj'], '--', lw=2, color=STATION_COLORS[i % 5],
label=label, zorder=10)
d = _safe_read(os.path.join(EXPERIMENT, 'ARN-jet-lines-expt.dat'))
if d:
keys = [k for k in d.keys() if 'y/Dj' not in k] # x/Dj=N stations
for i, k in enumerate(keys[:5]):
v = d[k]
plt.scatter(v['u/Uj'], v['y/Dj'], ec=STATION_COLORS[i], fc='none',
marker=STATION_MARKERS[i], label=k)
plt.xlabel(r'$u/U_{jet}$')
plt.ylabel(r'$y/D_{jet}$')
plt.ylim(0, 1.5); plt.xlim(0, 1.2)
plt.grid(); plt.legend(loc='upper right', fontsize=10)
plt.tight_layout(pad=0.3)
plt.savefig(os.path.join(HERE, 'ASJ_u_at5stations.pdf'))
# (3) u'v'/Uj^2 profiles at 5 stations --------------------------------------
plt.figure(figsize=(7, 5.5))
d = _safe_read(os.path.join(BASELINE, 'ASJ_uv_at5stations.dat'))
if d:
for i, (k, v) in enumerate(d.items()):
label = BASELINE_LABEL if i == 0 else None
plt.plot(v["u'v'/Uj^2"], v['y/Dj'], '-', lw=2, color=STATION_COLORS[i % 5],
label=label, zorder=5)
if MODEL_DIR:
d = _safe_read(os.path.join(MODEL_DIR, 'ASJ_uv_at5stations.dat'))
if d:
for i, (k, v) in enumerate(d.items()):
label = MODEL_LABEL if i == 0 else None
plt.plot(v["u'v'/Uj^2"], v['y/Dj'], '--', lw=2, color=STATION_COLORS[i % 5],
label=label, zorder=10)
d = _safe_read(os.path.join(EXPERIMENT, 'ARN-jet-lines-expt.dat'))
if d:
keys = [k for k in d.keys() if 'y/Dj' not in k]
for i, k in enumerate(keys[:5]):
v = d[k]
plt.scatter(v["u'v'/Uj^2"], v['y/Dj'], ec=STATION_COLORS[i], fc='none',
marker=STATION_MARKERS[i], label=k)
plt.xlabel(r"$u'v'/U_{jet}^2$")
plt.ylabel(r'$y/D_{jet}$')
plt.ylim(0, 1.5); plt.xlim(0, 0.02)
plt.grid(); plt.legend(loc='upper right', fontsize=10)
plt.gca().xaxis.set_ticks([0, 0.005, 0.01, 0.015, 0.02])
plt.tight_layout(pad=0.3)
plt.savefig(os.path.join(HERE, 'ASJ_uv_at5stations.pdf'))
print(f'Wrote plots to {HERE}')
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