Add ERCOFTAC_AhmedBody25 OpenFOAM case and reference data

.gitattributes

@@ -102,3 +102,6 @@ data/NASA_FaithHill/highfidelity/FISF_readme.pdf filter=lfs diff=lfs merge=lfs -
 data/NASA_FaithHill/plots/FaithHill_FISF_Cf.pdf filter=lfs diff=lfs merge=lfs -text
 data/NASA_FaithHill/plots/FaithHill_PIV_U_contours.pdf filter=lfs diff=lfs merge=lfs -text
 data/NASA_FaithHill/plots/FaithHill_PIV_k_contours.pdf filter=lfs diff=lfs merge=lfs -text
+data/ERCOFTAC_AhmedBody25/plots/Ahmed25_wake_U_contours.pdf filter=lfs diff=lfs merge=lfs -text
+data/ERCOFTAC_AhmedBody25/plots/Ahmed25_wake_k_contours.pdf filter=lfs diff=lfs merge=lfs -text
+data/ERCOFTAC_AhmedBody25/plots/Ahmed25_wake_uw_contours.pdf filter=lfs diff=lfs merge=lfs -text

data/ERCOFTAC_AhmedBody25/0/U

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data/ERCOFTAC_AhmedBody25/30/uniform/time

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+/*--------------------------------*- C++ -*----------------------------------*\
+  =========                 |
+  \\      /  F ield         | OpenFOAM: The Open Source CFD Toolbox
+   \\    /   O peration     | Website:  https://openfoam.org
+    \\  /    A nd           | Version:  7
+     \\/     M anipulation  |
+\*---------------------------------------------------------------------------*/
+FoamFile
+{
+    version     2.0;
+    format      ascii;
+    class       dictionary;
+    location    "30/uniform";
+    object      time;
+}
+// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
+
+value           30;
+
+name            "30";
+
+index           3000;
+
+deltaT          0.01;
+
+deltaT0         0.01;
+
+
+// ************************************************************************* //

data/ERCOFTAC_AhmedBody25/30/wallShearStress

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data/ERCOFTAC_AhmedBody25/Alllrun.sh

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+#!/bin/bash
+# Tested: OpenFOAM 7.0
+
+### Mesh generation and solver
+surfaceFeatureExtract  > ./log/surfaceFeatureExtract.log
+blockMesh  > ./log/blockMesh.log
+### partition the mesh
+decomposePar > ./log/decomposePar.log
+
+### mesh the domain
+mpirun -np 20 snappyHexMesh -parallel -overwrite > ./log/snappyHexMesh.log
+### Run potentialFoam to intialize 
+mpirun -np 20 potentialFoam -parallel > ./log/potentialFoam.log 
+mpirun -np 20 simpleFoam  -parallel > ./log/simpleFoam.log
+reconstructParMesh -constant
+reconstructPar -latestTime

data/ERCOFTAC_AhmedBody25/README.md

@@ -0,0 +1,73 @@
+# ERCOFTAC Ahmed Body 25° — case082
+
+Validation case from the **ERCOFTAC Classic Collection — case082**, MOVA project (Models for Vehicle Aerodynamics, 1998–2001). Experiments: H. Lienhart, S. Becker, C. Stoots — LSTM Erlangen.
+
+## Required metrics
+1. **LDA mean velocity + Reynolds-stress profiles** on canonical x-z and y-z planes through slant + wake
+2. **Surface pressure** Cp on the rear (slant + base)
+3. **Boundary-layer hot-wire profiles** at top / side / underbody locations (transferable across slant angles)
+4. **Drag/lift scalars** (CD, CL) — see `baseline_komegasst/scalars.json`
+
+## Folder layout
+```
+ERCOFTAC_AhmedBody25/
+├── 0/, 30/, constant/, system/, postProcessing/, log/   ← OpenFOAM (rsync from OF_Baseline_Cases/AhmedBody)
+├── ahmedBody.foam, run_hpc_slurm.sh, Alllrun.sh
+├── extract_baseline_from_vtk.py   probe volume @ exp tap locations
+├── extract_surface_Cp.py          re-extract Cp from VTK/body/ surface patch
+├── augment_baseline_nearwall.py   add near-wall RANS points where LDA is laser-limited
+├── compute_forces.py              integrate p over body surface -> CD,CL + scalars.json
+├── baseline_komegasst/   k-ω SST RANS extracted at experimental locations (.csv)
+│   └── scalars.json      CD, CL, body geometry, Cp range — single source of truth for scalars
+├── highfidelity/         ERCOFTAC LDA + pressure + BL hot-wire (37 .dat + .csv pairs)
+└── plots/                Comparison code + figures
+    └── plot_profiles.py  set MODEL_DIR env to overlay submitted model
+```
+
+## Generated figures (in `plots/`)
+- `Ahmed25_wake_U_contours` / `_uw_contours` / `_k_contours` — y-z plane field comparisons (4 stations × Exp/Baseline)
+- `Ahmed25_wake_profile_U` / `_uw` / `_k` — symmetry-plane wake profile stagger (10 stations, x = 38..638 mm)
+- `Ahmed25_slant_profile_U` / `_k` — slant-region (y=0) profile stagger (12 stations, x = -243..-3 mm)
+- `Ahmed25_Cp_rear` — surface pressure on slant centerline + base centerline
+
+## Baseline scalars (k-ω SST, t=30)
+| Quantity | Value | Reference (exp / lit.) |
+|---|---|---|
+| CD pressure  | 0.362 | — |
+| CD friction  | 0.035 | — |
+| **CD total** | **0.398** | 0.285 (Ahmed 1984) ; 0.32–0.40 (k-ω SST lit.) |
+| Friction share of CD | 8.9% | — |
+| CL total     | 0.022 | — |
+| Cp range     | -0.81 .. -0.12 | -1.57 .. -0.14 (LSTM) |
+| Body wetted area | 1.326 m² | — |
+| Frontal area (h·w) | 0.112 m² | — |
+
+Friction component obtained via `simpleFoam -postProcess -func wallShearStress -time 30` then read into `compute_forces.py` via `vtkOpenFOAMReader`.
+
+## Solver / setup
+- **Solver**: `simpleFoam` (incompressible steady)
+- **Turbulence model**: `kOmegaSST` (pure baseline)
+- **Mesh**: snappyHexMesh-generated
+- **Inflow**: U_inlet = (40, 0, 0) m/s ⇒ U_b = 40 m/s
+- **Reference**: Re_h = 768 000, h = 288 mm, slant = 222 mm @ 25°
+- **Coordinates**: x = 0 at body rear, y = 0 symmetry plane, z = 0 ground plane (units mm in .dat / .csv data files)
+- **Converged at**: t = 30 (steady)
+
+## Submission format
+Drop CSV files in `MODEL_DIR` matching the highfidelity column conventions:
+- `ahmed-25-y000-whole.csv` — symmetry plane (whole) cols: `x, y, z, U, V, W, urms, vrms, wrms, uv, uw, ...`
+- `ahmed-25-{xm088, xp000, xp200, xp500}-yz.csv` — wake-development y-z planes (canonical scoring stations)
+- `ahmed-25-yp{000,100,180,195}-xz.csv` / `ahmed-25-ym195-xz.csv` — slant-region x-z planes
+- `ahmed-25-yp000-bl.csv` — symmetry-plane BL profile (u, w only)
+- `ahmed-25-press.csv` — rear surface Cp: `x, y, z, Cp` (mm units)
+
+Then `python plots/plot_profiles.py` overlays baseline + LDA + your model.
+
+## Provenance
+- High-fidelity: `ahby-allfiles.tar.gz` from ERCOFTAC Classic Collection case082, extracted via `tar -xzf`.
+- OpenFOAM case: `OF_Baseline_Cases/AhmedBody/`. Mesh built on an HPC cluster (48 MPI ranks); see `run_hpc_slurm.sh`. Tested with OpenFOAM 7.
+
+## Citations
+- Ahmed, S.R., Ramm, G., Faltin, G. (1984). *Some salient features of the time-averaged ground vehicle wake*. SAE Tech. Paper 840300. https://doi.org/10.4271/840300
+- Lienhart, H., Stoots, C., Becker, S. (2000). *Flow and turbulence structures in the wake of a simplified car model (Ahmed model)*. DGLR Fach Symp. der AG STAB, Stuttgart.
+- Lienhart, H., Becker, S. (2003). *Flow and Turbulence Structure in the Wake of a Simplified Car Model*. SAE Paper 2003-01-0656. https://doi.org/10.4271/2003-01-0656

data/ERCOFTAC_AhmedBody25/VTK/ERCOFTAC_AhmedBody25_3000.vtk

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data/ERCOFTAC_AhmedBody25/VTK/inlet/inlet_3000.vtk

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data/ERCOFTAC_AhmedBody25/VTK/stilts/stilts_3000.vtk

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data/ERCOFTAC_AhmedBody25/augment_baseline_nearwall.py

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+"""Augment the baseline y000-whole CSV with near-wall (z<28 mm) RANS samples.
+
+The existing baseline CSV inherits the LSTM laser cutoff at z=28 mm because it
+was probed at experimental locations. The RANS volume has data all the way to
+the floor wall (z=0), so we probe a few extra points in the gap and append them.
+"""
+import os
+import numpy as np
+import pandas as pd
+import vtk
+from vtk.util import numpy_support as ns
+
+CASE = os.path.dirname(os.path.abspath(__file__))
+VTK_PATH = os.path.join(CASE, 'VTK', 'ERCOFTAC_AhmedBody25_3000.vtk')
+CSV_WAKE = os.path.join(CASE, 'baseline_komegasst', 'ahmed-25-y000-whole.csv')
+CSV_SLANT = os.path.join(CASE, 'baseline_komegasst', 'ahmed-25-yp000-xz.csv')
+
+# OpenFOAM case is in metres.
+WAKE_X_MM = [38, 88, 138, 188, 238, 288, 338, 438, 538, 638]
+NEAR_WALL_Z_MM = [1, 4, 8, 12, 16, 20, 24]  # fills floor → 28 mm
+
+# Slant stations (where exp data stops well above the slant surface).
+# Slant geometry: 222 mm long @ 25°. Top at x=-201 mm z=338 mm; rear top at x=0 mm z=244.2 mm.
+SLANT_X_MM = [-243, -203, -183, -163, -143, -123, -103, -83, -63, -43, -23, -3]
+def slant_wall_z_mm(x_mm):
+    if x_mm <= -201.0:
+        return 338.0  # flat body roof
+    return 244.2 + 93.8 * (-x_mm) / 201.0  # 25-deg slant
+
+# At each slant x, fill z from (wall+1) to (wall+18) in 3 mm steps -- 6 points/station.
+SLANT_DZ_MM = [1.0, 4.0, 7.0, 10.0, 13.0, 16.0]
+
+print(f'[load] {VTK_PATH}')
+reader = vtk.vtkUnstructuredGridReader()
+reader.SetFileName(VTK_PATH)
+reader.Update()
+vol = reader.GetOutput()
+
+# build probe points (m) at y=0
+pts_xyz = []
+for x_mm in WAKE_X_MM:
+    for z_mm in NEAR_WALL_Z_MM:
+        pts_xyz.append([x_mm * 1e-3, 0.0, z_mm * 1e-3])
+pts_xyz = np.asarray(pts_xyz)
+
+vp = vtk.vtkPoints()
+vp.SetData(ns.numpy_to_vtk(np.ascontiguousarray(pts_xyz)))
+poly = vtk.vtkPolyData(); poly.SetPoints(vp)
+
+# vtkGradientFilter for R from Boussinesq
+print('[grad] computing gradU on volume')
+grad = vtk.vtkGradientFilter()
+grad.SetInputData(vol)
+grad.SetInputScalars(vol.FIELD_ASSOCIATION_POINTS, 'U')
+grad.SetResultArrayName('gradU')
+grad.Update()
+volg = grad.GetOutput()
+
+print('[probe] near-wall points')
+probe = vtk.vtkProbeFilter()
+probe.SetSourceData(volg)
+probe.SetInputData(poly)
+probe.Update()
+pdata = probe.GetOutput().GetPointData()
+
+fields = {pdata.GetArrayName(i): ns.vtk_to_numpy(pdata.GetArray(i))
+          for i in range(pdata.GetNumberOfArrays())}
+
+U = fields['U']
+k = fields['k']
+nut = fields['nut']
+gradU = fields['gradU'].reshape(-1, 3, 3)
+S = 0.5 * (gradU + gradU.transpose(0, 2, 1))
+R = np.zeros_like(S)
+for i in range(3):
+    R[:, i, i] = (2.0/3.0) * k
+R -= 2.0 * nut[:, None, None] * S
+
+new_rows = pd.DataFrame({
+    'x_mm': pts_xyz[:, 0] * 1000.0,
+    'y_mm': pts_xyz[:, 1] * 1000.0,
+    'z_mm': pts_xyz[:, 2] * 1000.0,
+    'U': U[:, 0], 'V': U[:, 1], 'W': U[:, 2],
+    'k': k,
+    'omega': fields['omega'],
+    'p': fields['p'],
+    'nut': nut,
+    'R_xx': R[:, 0, 0], 'R_yy': R[:, 1, 1], 'R_zz': R[:, 2, 2],
+    'R_xy': R[:, 0, 1], 'R_xz': R[:, 0, 2], 'R_yz': R[:, 1, 2],
+})
+
+orig = pd.read_csv(CSV_WAKE)
+combined = pd.concat([orig, new_rows], ignore_index=True)
+combined = combined.sort_values(['x_mm', 'z_mm']).drop_duplicates(['x_mm', 'y_mm', 'z_mm'])
+combined.to_csv(CSV_WAKE, index=False)
+print(f'[done wake] {len(orig)} -> {len(combined)} rows. Added {len(new_rows)} near-wall points.')
+
+# ---- slant: probe a few mm above the slant wall (RANS only; exp is laser-limited) ----
+slant_pts = []
+for x_mm in SLANT_X_MM:
+    zw = slant_wall_z_mm(x_mm)
+    for dz in SLANT_DZ_MM:
+        slant_pts.append([x_mm * 1e-3, 0.0, (zw + dz) * 1e-3])
+slant_pts = np.asarray(slant_pts)
+
+vp2 = vtk.vtkPoints(); vp2.SetData(ns.numpy_to_vtk(np.ascontiguousarray(slant_pts)))
+poly2 = vtk.vtkPolyData(); poly2.SetPoints(vp2)
+print('[probe] slant near-wall points')
+probe2 = vtk.vtkProbeFilter()
+probe2.SetSourceData(volg)
+probe2.SetInputData(poly2)
+probe2.Update()
+pdata2 = probe2.GetOutput().GetPointData()
+f2 = {pdata2.GetArrayName(i): ns.vtk_to_numpy(pdata2.GetArray(i))
+      for i in range(pdata2.GetNumberOfArrays())}
+
+U2 = f2['U']; k2 = f2['k']; nut2 = f2['nut']
+g2 = f2['gradU'].reshape(-1, 3, 3)
+S2 = 0.5 * (g2 + g2.transpose(0, 2, 1))
+R2 = np.zeros_like(S2)
+for i in range(3):
+    R2[:, i, i] = (2.0/3.0) * k2
+R2 -= 2.0 * nut2[:, None, None] * S2
+
+new_slant = pd.DataFrame({
+    'x_mm': slant_pts[:, 0] * 1000.0,
+    'y_mm': slant_pts[:, 1] * 1000.0,
+    'z_mm': slant_pts[:, 2] * 1000.0,
+    'U': U2[:, 0], 'V': U2[:, 1], 'W': U2[:, 2],
+    'k': k2,
+    'omega': f2['omega'],
+    'p': f2['p'],
+    'nut': nut2,
+    'R_xx': R2[:, 0, 0], 'R_yy': R2[:, 1, 1], 'R_zz': R2[:, 2, 2],
+    'R_xy': R2[:, 0, 1], 'R_xz': R2[:, 0, 2], 'R_yz': R2[:, 1, 2],
+})
+
+orig2 = pd.read_csv(CSV_SLANT)
+combined2 = pd.concat([orig2, new_slant], ignore_index=True)
+combined2 = combined2.sort_values(['x_mm', 'z_mm']).drop_duplicates(['x_mm', 'y_mm', 'z_mm'])
+combined2.to_csv(CSV_SLANT, index=False)
+print(f'[done slant] {len(orig2)} -> {len(combined2)} rows. Added {len(new_slant)} near-wall points.')

data/ERCOFTAC_AhmedBody25/baseline_komegasst/ahmed-25-press.csv

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+x_mm,y_mm,z_mm,p,Cp
+-215.0,0.0,338.0,-322.7073974609375,-0.4398397493362427
+-215.0,-30.0,338.0,-325.4913024902344,-0.4433196306228638
+-215.0,-60.0,338.0,-333.2049255371094,-0.4529616594314575
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