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  1. 2_boundary_conditions/012-015-diag_xz_mm_IS02.npz +3 -0
  2. 2_boundary_conditions/012-015-diag_xz_mm_IS03.npz +3 -0
  3. 2_boundary_conditions/012-015-diag_xz_mm_IS04.npz +3 -0
  4. 2_boundary_conditions/012-015-diag_xz_mm_IS05.npz +3 -0
  5. 2_boundary_conditions/012-015-diag_xz_mm_IS06.npz +3 -0
  6. 2_boundary_conditions/012-015-diag_xz_mm_IS07.npz +3 -0
  7. 2_boundary_conditions/012-015-diag_xz_mm_IS09.npz +3 -0
  8. 2_boundary_conditions/012-015-diag_xz_mm_IS10.npz +3 -0
  9. 2_boundary_conditions/012-015-diag_xz_mm_IS11.npz +3 -0
  10. 2_boundary_conditions/012-015-diag_xz_mm_IS12.npz +3 -0
  11. 2_boundary_conditions/012-015-diag_xz_mm_IS14.npz +3 -0
  12. 2_boundary_conditions/012-015-diag_xz_mm_IS17.npz +3 -0
  13. 2_boundary_conditions/012-015-diag_xz_mm_IS18.npz +3 -0
  14. 2_boundary_conditions/012-069-diag_xz_mm_IS11.npz +3 -0
  15. 2_boundary_conditions/012-069-diag_xz_mm_IS13.npz +3 -0
  16. 2_boundary_conditions/012-069-diag_xz_mm_IS16.npz +3 -0
  17. 2_boundary_conditions/012-069-diag_xz_mm_IS17.npz +3 -0
  18. 2_boundary_conditions/012-069-diag_xz_mm_IS18.npz +3 -0
  19. 2_boundary_conditions/012-079-diag_xz_mm_IS00.npz +3 -0
  20. 2_boundary_conditions/012-079-diag_xz_mm_IS02.npz +3 -0
  21. 2_boundary_conditions/012-079-diag_xz_mm_IS04.npz +3 -0
  22. 2_boundary_conditions/012-079-diag_xz_mm_IS05.npz +3 -0
  23. 2_boundary_conditions/012-079-diag_xz_mm_IS07.npz +3 -0
  24. 2_boundary_conditions/012-079-diag_xz_mm_IS08.npz +3 -0
  25. 2_boundary_conditions/012-079-diag_xz_mm_IS09.npz +3 -0
  26. 2_boundary_conditions/012-079-diag_xz_mm_IS10.npz +3 -0
  27. 2_boundary_conditions/012-079-diag_xz_mm_IS11.npz +3 -0
  28. 2_boundary_conditions/012-079-diag_xz_mm_IS16.npz +3 -0
  29. 2_boundary_conditions/012-079-diag_xz_mm_IS17.npz +3 -0
  30. 2_boundary_conditions/012-079-diag_xz_mm_IS18.npz +3 -0
  31. 2_boundary_conditions/012-092-diag_xz_mm_IS04.npz +3 -0
  32. 2_boundary_conditions/012-092-diag_xz_mm_IS08.npz +3 -0
  33. 2_boundary_conditions/012-092-diag_xz_mm_IS09.npz +3 -0
  34. 2_boundary_conditions/012-114-diag_xz_mm_IS01.npz +3 -0
  35. 2_boundary_conditions/012-114-diag_xz_mm_IS02.npz +3 -0
  36. 2_boundary_conditions/012-114-diag_xz_mm_IS03.npz +3 -0
  37. 2_boundary_conditions/012-114-diag_xz_mm_IS04.npz +3 -0
  38. 2_boundary_conditions/012-114-diag_xz_mm_IS05.npz +3 -0
  39. 2_boundary_conditions/012-114-diag_xz_mm_IS08.npz +3 -0
  40. 2_boundary_conditions/012-114-diag_xz_mm_IS09.npz +3 -0
  41. 2_boundary_conditions/012-114-diag_xz_mm_IS10.npz +3 -0
  42. 2_boundary_conditions/012-114-diag_xz_mm_IS11.npz +3 -0
  43. 2_boundary_conditions/012-114-diag_xz_mm_IS12.npz +3 -0
  44. 2_boundary_conditions/012-114-diag_xz_mm_IS14.npz +3 -0
  45. 2_boundary_conditions/012-116-diag_xz_mm_IS01.npz +3 -0
  46. LICENSE +16 -0
  47. README.md +43 -0
  48. README.txt +117 -0
  49. deepjebpp_labels.csv +0 -0
  50. metadata.json +71 -0
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LICENSE ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ DeepJEB++ Dataset - License
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+ ===========================
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+ Copyright (c) 2026 The DeepJEB++ Authors (KAIST).
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+
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+ This dataset (surface meshes, boundary conditions, FEA fields, scalar labels,
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+ mass, and metadata) is licensed under the Creative Commons
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+ Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
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+
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+ You are free to share and adapt the material for NON-COMMERCIAL purposes,
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+ provided you give appropriate credit (please cite the DeepJEB++ paper).
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+
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+ Human-readable summary: https://creativecommons.org/licenses/by-nc/4.0/
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+ Full legal code: https://creativecommons.org/licenses/by-nc/4.0/legalcode
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+
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+ The foundation models used to generate the geometries (TRELLIS, Stable
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+ Diffusion v1.5) remain governed by their own respective licenses.
README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ pretty_name: DeepJEB++
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+ size_categories:
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+ - 10K<n<100K
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+ tags:
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+ - engineering-design
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+ - finite-element-analysis
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+ - surrogate-modeling
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+ - 3d-geometry
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+ - jet-engine-bracket
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+ ---
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+
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+ # DeepJEB++
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+
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+ A foundation-model-driven 2D-to-3D data-augmentation dataset for structural
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+ engineering design. **15,360** simulation-labeled jet-engine brackets, generated
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+ by adapting Stable Diffusion v1.5 and TRELLIS, each paired with automatically
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+ computed linear-elastic finite-element labels under four load cases.
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+
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+ ## License
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+ **CC BY-NC 4.0** (Creative Commons Attribution-NonCommercial 4.0 International).
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+ Non-commercial use only; attribution required (please cite the DeepJEB++ paper).
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+ See the `LICENSE` file.
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+
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+ ## Contents
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+ | Path | Description |
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+ |------|-------------|
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+ | `1_surface_meshes/` | 15,360 surface meshes (`.obj`, native ~50k verts) |
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+ | `2_boundary_conditions/` | Four-bolt + loaded-clevis interfaces (vertex indices, mm frame) |
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+ | `3_fea_fields/` | Per-case surface FEA fields (`.npz`): displacement `U`, von Mises `vm` for 4 loads |
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+ | `deepjebpp_labels.csv` | Scalar labels: mass, per-load max displacement & 95th-pct von Mises |
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+ | `metadata.json` | Material, load cases, units, layout |
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+ | `README.txt` | Full human-readable specification |
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+
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+ All field/BC entries are at a consistent 25k FEM-mesh density. BC node indices
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+ reference `3_fea_fields/<case>.npz` `surface_points` (25k), not the native `.obj`.
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+
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+ ## Load cases (Ti-6Al-4V, linear static)
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+ vertical 35.6 kN | horizontal 37.8 kN | diagonal 42.3 kN | torsional 565 kN-mm
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+
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+ ## Citation
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+ Citation will be added upon publication (ASME Journal of Mechanical Design).
README.txt ADDED
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1
+ ================================================================================
2
+ TRELLIS-generated Jet-Engine Bracket — Surface FEA Dataset (DeepJEB++)
3
+ ================================================================================
4
+ Generated: 2026-06-07
5
+ Source compute: FEA host .85 (143.248.221.85)
6
+ Cases: 15,360 deployable TRELLIS-generated brackets (deployable_final.txt)
7
+
8
+ --------------------------------------------------------------------------------
9
+ FOLDER LAYOUT
10
+ --------------------------------------------------------------------------------
11
+ trellis_fea_dataset/
12
+ 1_surface_meshes/ 15,360 input surface meshes (.obj), native ~50k verts
13
+ (source: output_v2/_tri)
14
+ 2_boundary_conditions/ 15,360 per-case BC (.npz): clamped bolt + loaded lug nodes
15
+ 3_fea_fields/ 15,360 per-case surface FEA fields (.npz)
16
+ deepjebpp_labels.csv per-case SCALAR labels incl. mass (15,360 rows)
17
+ metadata.json machine-readable dataset spec (material/loads/units/schema)
18
+ README.txt this file
19
+ trellis_fea_percase.csv legacy labels WITHOUT mass (superseded by deepjebpp_labels.csv)
20
+
21
+ File naming: <case>.obj / <case>.npz, e.g. 012-015-diag_xz_mm_IS02
22
+ (mesh, BC npz, field npz, and label CSV row share the same <case> id.)
23
+
24
+ --------------------------------------------------------------------------------
25
+ FEM SETUP (linear elasticity, static)
26
+ --------------------------------------------------------------------------------
27
+ Material: E = 113800 MPa, nu = 0.342 (isotropic)
28
+ Units: length mm, force N, moment N*mm, stress MPa, displacement mm
29
+ Mesh: surface decimated to FEM_TARGET_VERTS = 25000, cleaned (pymeshfix),
30
+ volume tetrahedralized with tetgen switches "pq1.2/10Y"
31
+ BC: 4 bolt holes clamped (Dirichlet), load applied on the lug
32
+ (bolt/lug auto-detected + registered per case)
33
+
34
+ 4 LOAD CASES (name, type, direction, magnitude):
35
+ ver force ( 0.000, 0.0, 1.000) 35,600 N
36
+ hor force (-1.000, 0.0, 0.000) 37,800 N
37
+ dia force (-0.669, 0.0, 0.743) 42,300 N
38
+ tor moment ( 0.000, 1.0, 0.000) 565,000 N*mm
39
+
40
+ --------------------------------------------------------------------------------
41
+ FIELD NPZ CONTENTS (numpy .npz, np.load)
42
+ --------------------------------------------------------------------------------
43
+ Geometry (shared by all 4 loads):
44
+ surface_points (N,3) float32 surface vertex coords (mm)
45
+ surface_faces (M,3) int32 triangle indices
46
+ R float detected lug bore radius (mm)
47
+ cov_min, dXZ float lug-detection diagnostics
48
+ Per load L in {ver, hor, dia, tor}:
49
+ L_U (N,3) float32 surface displacement vector (mm) [for deformed viz]
50
+ L_vm (N,) float32 surface von Mises stress (MPa)
51
+ L_maxu float max displacement magnitude over the volume (mm)
52
+ L_p95vm float 95th-percentile von Mises over volume nodes (MPa)
53
+
54
+ --------------------------------------------------------------------------------
55
+ BOUNDARY CONDITION NPZ CONTENTS (2_boundary_conditions/<case>.npz)
56
+ --------------------------------------------------------------------------------
57
+ *** ALL indices are into the npz surface_points array of 3_fea_fields/<case>.npz ***
58
+ *** (the 25k FEM surface mesh, ~24.9k verts) — NOT the native 50k meshes/.obj. ***
59
+ bolt_idx (B,) int32 clamped (Dirichlet) surface nodes = the 4 bolt holes
60
+ bolt_holes (B,) int8 hole label 0..3 for each bolt_idx node (spatial k=4;
61
+ a few cases may show 3 labels if two holes merge)
62
+ lug_idx (L,) int32 loaded (Neumann) surface nodes on the lug/clevis bore
63
+ (same load nodes shared by all 4 load cases)
64
+ n_surface int32 number of surface_points (sanity vs fields npz)
65
+ R float32 lug bore radius (mm)
66
+ jaccard_bolt float32 QC: agreement of re-detected vs U==0 bolt set (~1.0)
67
+ frame str "surface_points (mm, 25k FEM mesh); same index as 3_fea_fields/<case>.npz"
68
+
69
+ Provenance:
70
+ - bolt_idx recovered EXACTLY from the solved fields: nodes with U==0 in ALL 4
71
+ load cases (the Dirichlet-clamped set the solver actually fixed).
72
+ - lug_idx re-detected with the deterministic §3.4.1 bolt/lug pipeline
73
+ (trellis_local.prep) and mapped to surface_points via nearest-neighbour --
74
+ the same mapping fem_solver_nf uses; verified against the U==0 bolt set
75
+ (mean Jaccard 0.9997 over all 15,360).
76
+ Usage example:
77
+ bc = np.load("2_boundary_conditions/<case>.npz")
78
+ fp = np.load("3_fea_fields/<case>.npz")["surface_points"]
79
+ clamped_xyz = fp[bc["bolt_idx"]] # mm coords of clamped bolt nodes
80
+ loaded_xyz = fp[bc["lug_idx"]] # mm coords of loaded lug nodes
81
+
82
+ --------------------------------------------------------------------------------
83
+ SCALAR LABEL COLUMNS (deepjebpp_labels.csv)
84
+ --------------------------------------------------------------------------------
85
+ case, mass_g, vol_mm3, cov_min, dXZ, R,
86
+ ver_maxu, ver_p95vm, ver_maxvm,
87
+ hor_maxu, hor_p95vm, hor_maxvm,
88
+ dia_maxu, dia_p95vm, dia_maxvm,
89
+ tor_maxu, tor_p95vm, tor_maxvm
90
+ - mass_g = mass (Ti-6Al-4V, rho=4.43e-3 g/mm^3) x enclosed volume of the
91
+ registered native ~50k mesh (full-resolution, pymeshfix-watertight).
92
+ - vol_mm3 = that enclosed volume (mm^3).
93
+ - The 3_fea_fields npz store maxu/p95vm; the CSV additionally has maxvm = max von Mises.
94
+ (trellis_fea_percase.csv is the same table WITHOUT mass_g/vol_mm3 — superseded.)
95
+
96
+ --------------------------------------------------------------------------------
97
+ NOTES
98
+ --------------------------------------------------------------------------------
99
+ * All 15,360 fields are at the SAME 25k mesh density (consistent labels).
100
+ * 6 geometrically complex cases failed the standard 25k decimation (self-
101
+ intersecting facets -> tetgen reject). They were re-solved with a robust
102
+ decimation (pymeshfix-clean the original BEFORE decimating; same 25k target
103
+ and same tetgen switches). Their scalars match the CSV within ~0.1-18%
104
+ (vs +30-170% if solved at 200k), so they remain on the 25k scale:
105
+ 187-384-diag_xz_mm_IS06, 217-136-diag_xz_mm_IS09, 384-123-diag_xz_mm_IS00,
106
+ 384-136-diag_xz_mm_IS18, 384-279-diag_xz_mm_IS13, 384-548-diag_xz_mm_IS08
107
+ * Field npz store surface (boundary) values; max/p95 scalars are over the full
108
+ volume mesh.
109
+ ================================================================================
110
+
111
+ --------------------------------------------------------------------------------
112
+ LICENSE
113
+ --------------------------------------------------------------------------------
114
+ This dataset is distributed under CC BY-NC 4.0 (Creative Commons
115
+ Attribution-NonCommercial 4.0 International). See the LICENSE file.
116
+ Non-commercial use only; attribution (cite the DeepJEB++ paper) required.
117
+ https://creativecommons.org/licenses/by-nc/4.0/
deepjebpp_labels.csv ADDED
The diff for this file is too large to render. See raw diff
 
metadata.json ADDED
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1
+ {
2
+ "license": "CC BY-NC 4.0",
3
+ "license_url": "https://creativecommons.org/licenses/by-nc/4.0/",
4
+ "dataset": "DeepJEB++ TRELLIS-generated jet-engine bracket surface-FEA dataset",
5
+ "version": "1.0",
6
+ "date": "2026-06-07",
7
+ "n_cases": 15360,
8
+ "case_id_format": "<base>-<sub>-diag_xz_mm_IS<aug> (shared by mesh / field / BC / label row)",
9
+ "units": {
10
+ "length": "mm",
11
+ "displacement": "mm",
12
+ "force": "N",
13
+ "moment": "N*mm",
14
+ "stress": "MPa",
15
+ "mass": "g",
16
+ "volume": "mm^3"
17
+ },
18
+ "material": {
19
+ "name": "Ti-6Al-4V",
20
+ "model": "linear isotropic elasticity (static)",
21
+ "youngs_modulus_MPa": 113800.0,
22
+ "poisson_ratio": 0.342,
23
+ "density_g_per_mm3": 0.00443
24
+ },
25
+ "load_cases": [
26
+ {"name": "ver", "type": "force", "direction": [0.0, 0.0, 1.0], "magnitude": 35600.0, "unit": "N"},
27
+ {"name": "hor", "type": "force", "direction": [-1.0, 0.0, 0.0], "magnitude": 37800.0, "unit": "N"},
28
+ {"name": "dia", "type": "force", "direction": [-0.669, 0.0, 0.743], "magnitude": 42300.0, "unit": "N"},
29
+ {"name": "tor", "type": "moment", "direction": [0.0, 1.0, 0.0], "magnitude": 565000.0, "unit": "N*mm"}
30
+ ],
31
+ "boundary_conditions": {
32
+ "dirichlet": "4 bolt holes clamped (u = 0)",
33
+ "neumann": "total traction applied on the lug/clevis bore, shared equally over lug nodes",
34
+ "interface_detection": "deterministic 4-bolt + loaded-clevis detection (paper 3.4.1), Umeyama-registered to the GT frame",
35
+ "index_frame": "all BC node indices reference fields/<case>.npz surface_points (25k FEM mesh, ~24.9k verts), NOT the native 50k .obj"
36
+ },
37
+ "mesh": {
38
+ "native_surface": "meshes ~50k verts (.obj), source output_v2/_tri",
39
+ "fem_surface": "decimated to FEM_TARGET_VERTS=25000, pymeshfix-cleaned",
40
+ "volume": "tetgen tetrahedralization, switches pq1.2/10Y",
41
+ "note_robust_6": "6 complex cases (187-384-IS06, 217-136-IS09, 384-123-IS00, 384-136-IS18, 384-279-IS13, 384-548-IS08) used a robust decimation (pymeshfix-before-decimate) to avoid tetgen self-intersection; same 25k target."
42
+ },
43
+ "mass": {
44
+ "formula": "mass_g = density_g_per_mm3 * enclosed_volume_mm3",
45
+ "volume_source": "pymeshfix-watertight enclosed volume of the registered native ~50k mesh (full resolution; more accurate than the 25k FEM tet volume)",
46
+ "stats_g": {"min": 83.6, "median": 233.2, "max": 1500.7}
47
+ },
48
+ "layout": {
49
+ "1_surface_meshes/": "15,360 input surface meshes (.obj, native ~50k verts)",
50
+ "2_boundary_conditions/": "15,360 BC (.npz): bolt_idx, bolt_holes(0-3), lug_idx, n_surface, R, jaccard_bolt, frame",
51
+ "3_fea_fields/": "15,360 surface FEA fields (.npz): surface_points, surface_faces, R, cov_min, dXZ, and per load {ver,hor,dia,tor}_U, _vm, _maxu, _p95vm",
52
+ "deepjebpp_labels.csv": "per-case scalar labels (15,360 rows): case, mass_g, vol_mm3, cov_min, dXZ, R, {load}_maxu, {load}_p95vm, {load}_maxvm",
53
+ "metadata.json": "this file",
54
+ "README.txt": "human-readable spec"
55
+ },
56
+ "field_npz_keys": {
57
+ "surface_points": "(N,3) float32 mm",
58
+ "surface_faces": "(M,3) int32",
59
+ "R": "float lug bore radius mm",
60
+ "cov_min": "float lug-detection diagnostic",
61
+ "dXZ": "float lug-detection diagnostic",
62
+ "<load>_U": "(N,3) float32 surface displacement mm",
63
+ "<load>_vm": "(N,) float32 surface von Mises MPa",
64
+ "<load>_maxu": "float max displacement magnitude over volume mm",
65
+ "<load>_p95vm": "float 95th-percentile von Mises over volume nodes MPa"
66
+ },
67
+ "notes": {
68
+ "mass_vs_cad_validation": "The paper's 'R^2=0.9999 vs CAD' mass validation refers to the volume->mass pipeline checked against CAD reference masses (SimJEB GT, which has CAD). Generated TRELLIS brackets have no CAD counterpart, so that validation is not reproduced per-case here; the same deterministic volume pipeline is used.",
69
+ "all_at_25k": "All 15,360 field/BC entries are at the same 25k FEM mesh density (consistent labels)."
70
+ }
71
+ }