"""NACA 0012 validation plots — NASA TMR turb-prs2022. AoA = 10, 15, 17, 18 deg. Required metrics (turb-prs2022 challenge): (1) CL vs alpha (2) CD vs CL (3) Cp vs x/c at each AoA (compare with experiment) (4) Cf vs x/c (upper surface) at each AoA (no experiment available) Compare with experiment: - Ladson NASA TM 4074, 1988 (CL, CD) — Re=6e6, M=0.15, transition tripped - Gregory & O'Reilly NASA R&M 3726, 1970 (Cp) — Re=2.88e6 - CFL3D SST reference (Cp) — 897x257 grid, NASA TMR 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' ALPHAS = [10, 15, 17, 18] def _safe_read(path): if not os.path.isfile(path): return None return _read(path) # (1) CL vs alpha ---------------------------------------------------------- plt.figure(figsize=(6, 4.5)) d = _safe_read(os.path.join(BASELINE, '2DN00_cl_cd.dat')) if d: for k, v in d.items(): plt.scatter(v['alpha, deg'], v['cl'], marker='v', c='grey', s=70, label=BASELINE_LABEL, zorder=5) if MODEL_DIR: d = _safe_read(os.path.join(MODEL_DIR, '2DN00_cl_cd.dat')) if d: for k, v in d.items(): plt.scatter(v['alpha, deg'], v['cl'], marker='D', c='deeppink', s=70, label=MODEL_LABEL, zorder=10) d = _safe_read(os.path.join(EXPERIMENT, 'CLCD_Ladson_expdata.dat')) if d and '180 grit' in d: v = d['180 grit'] plt.scatter(v['alpha, deg'], v['cl'], ec='b', fc='none', marker='s', s=60, label='Ladson 1988 (180 grit)') plt.xlabel(r'$\alpha$ [deg]') plt.ylabel(r'$C_L$') plt.xlim(0, 22); plt.ylim(-0.2, 1.8) plt.grid(); plt.legend(); plt.tight_layout(pad=0.3) plt.savefig(os.path.join(HERE, '2DN00_cl_alpha.pdf')) # (2) CD vs CL ------------------------------------------------------------- plt.figure(figsize=(6, 4.5)) d = _safe_read(os.path.join(BASELINE, '2DN00_cl_cd.dat')) if d: for k, v in d.items(): plt.scatter(v['cl'], v['cd'], marker='v', c='grey', s=70, label=BASELINE_LABEL, zorder=5) if MODEL_DIR: d = _safe_read(os.path.join(MODEL_DIR, '2DN00_cl_cd.dat')) if d: for k, v in d.items(): plt.scatter(v['cl'], v['cd'], marker='D', c='deeppink', s=70, label=MODEL_LABEL, zorder=10) d = _safe_read(os.path.join(EXPERIMENT, 'CLCD_Ladson_expdata.dat')) if d and '180 grit' in d: v = d['180 grit'] plt.scatter(v['cl'], v['cd'], ec='b', fc='none', marker='s', s=60, label='Ladson 1988 (180 grit)') plt.xlabel(r'$C_L$'); plt.ylabel(r'$C_D$') plt.xlim(0, 2); plt.ylim(0, 0.08) plt.grid(); plt.legend(); plt.tight_layout(pad=0.3) plt.savefig(os.path.join(HERE, '2DN00_cl_cd.pdf')) # (3) Cp vs x/c at each AoA ------------------------------------------------ d_base = _safe_read(os.path.join(BASELINE, '2DN00_cp_at4alphas.dat')) d_model = _safe_read(os.path.join(MODEL_DIR, '2DN00_cp_at4alphas.dat')) if MODEL_DIR else None d_exp = _safe_read(os.path.join(EXPERIMENT, 'CP_Gregory_expdata.dat')) d_cfl3d = _safe_read(os.path.join(EXPERIMENT, 'n0012cp_cfl3d_sst.dat')) base_keys = list(d_base.keys()) if d_base else [] model_keys = list(d_model.keys()) if d_model else [] exp_keys = list(d_exp.keys()) if d_exp else [] cfl3d_keys = list(d_cfl3d.keys()) if d_cfl3d else [] ylim_cp = {10: (2, -6), 15: (2, -12), 17: (2, -12), 18: (2, -12)} for i, alpha in enumerate(ALPHAS): plt.figure(figsize=(6, 4.5)) if i < len(base_keys): v = d_base[base_keys[i]] plt.plot(v['x/c'], v['cp'], '-', lw=2, color='grey', label=BASELINE_LABEL, zorder=5) if d_model and i < len(model_keys): v = d_model[model_keys[i]] plt.plot(v['x/c'], v['cp'], '--', lw=2, color='deeppink', label=MODEL_LABEL, zorder=10) if d_cfl3d: match = [k for k in cfl3d_keys if f'alpha={alpha}' in k.replace(' ', '')] if match: v = d_cfl3d[match[0]] plt.plot(v['x'], v['cp'], ':', lw=1.5, color='green', label='CFL3D SST (NASA)') if d_exp: match = [k for k in exp_keys if f'alpha={alpha}' in k.replace(' ', '')] if match: v = d_exp[match[0]] plt.scatter(v['x/c'], v['cp'], ec='b', fc='none', marker='s', s=40, label='Gregory 1970 (exp)') plt.title(f'NACA 0012, alpha = {alpha} deg') plt.xlabel('x/c'); plt.ylabel(r'$C_p$') plt.ylim(ylim_cp[alpha]); plt.xlim(0, 1) plt.grid(); plt.legend(); plt.tight_layout(pad=0.3) plt.savefig(os.path.join(HERE, f'2DN00_cp_alpha_{alpha}deg.pdf')) # (4) Cf vs x/c (upper) at each AoA ---------------------------------------- d_base = _safe_read(os.path.join(BASELINE, '2DN00_cf_at4alphas.dat')) d_model = _safe_read(os.path.join(MODEL_DIR, '2DN00_cf_at4alphas.dat')) if MODEL_DIR else None base_keys = list(d_base.keys()) if d_base else [] model_keys = list(d_model.keys()) if d_model else [] ylim_cf = {10: (-0.005, 0.04), 15: (-0.005, 0.07), 17: (-0.005, 0.07), 18: (-0.005, 0.07)} for i, alpha in enumerate(ALPHAS): plt.figure(figsize=(6, 4.5)) if i < len(base_keys): v = d_base[base_keys[i]] plt.plot(v['x/c'], v['cf'], '-', lw=2, color='grey', label=BASELINE_LABEL, zorder=5) if d_model and i < len(model_keys): v = d_model[model_keys[i]] plt.plot(v['x/c'], v['cf'], '--', lw=2, color='deeppink', label=MODEL_LABEL, zorder=10) plt.title(f'NACA 0012, alpha = {alpha} deg') plt.xlabel('x/c'); plt.ylabel(r'$C_f$ (upper)') plt.ylim(ylim_cf[alpha]); plt.xlim(0, 1) plt.grid(); plt.legend(); plt.tight_layout(pad=0.3) plt.savefig(os.path.join(HERE, f'2DN00_cf_alpha_{alpha}deg.pdf')) print(f'Wrote plots to {HERE}')