Datasets:
File size: 6,977 Bytes
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TRELLIS-generated Jet-Engine Bracket — Surface FEA Dataset (DeepJEB++)
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Generated: 2026-06-07
Source compute: FEA host .85 (143.248.221.85)
Cases: 15,360 deployable TRELLIS-generated brackets (deployable_final.txt)
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FOLDER LAYOUT
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trellis_fea_dataset/
1_surface_meshes/ 15,360 input surface meshes (.obj), native ~50k verts
(source: output_v2/_tri)
2_boundary_conditions/ 15,360 per-case BC (.npz): clamped bolt + loaded lug nodes
3_fea_fields/ 15,360 per-case surface FEA fields (.npz)
deepjebpp_labels.csv per-case SCALAR labels incl. mass (15,360 rows)
metadata.json machine-readable dataset spec (material/loads/units/schema)
README.txt this file
trellis_fea_percase.csv legacy labels WITHOUT mass (superseded by deepjebpp_labels.csv)
File naming: <case>.obj / <case>.npz, e.g. 012-015-diag_xz_mm_IS02
(mesh, BC npz, field npz, and label CSV row share the same <case> id.)
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FEM SETUP (linear elasticity, static)
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Material: E = 113800 MPa, nu = 0.342 (isotropic)
Units: length mm, force N, moment N*mm, stress MPa, displacement mm
Mesh: surface decimated to FEM_TARGET_VERTS = 25000, cleaned (pymeshfix),
volume tetrahedralized with tetgen switches "pq1.2/10Y"
BC: 4 bolt holes clamped (Dirichlet), load applied on the lug
(bolt/lug auto-detected + registered per case)
4 LOAD CASES (name, type, direction, magnitude):
ver force ( 0.000, 0.0, 1.000) 35,600 N
hor force (-1.000, 0.0, 0.000) 37,800 N
dia force (-0.669, 0.0, 0.743) 42,300 N
tor moment ( 0.000, 1.0, 0.000) 565,000 N*mm
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FIELD NPZ CONTENTS (numpy .npz, np.load)
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Geometry (shared by all 4 loads):
surface_points (N,3) float32 surface vertex coords (mm)
surface_faces (M,3) int32 triangle indices
R float detected lug bore radius (mm)
cov_min, dXZ float lug-detection diagnostics
Per load L in {ver, hor, dia, tor}:
L_U (N,3) float32 surface displacement vector (mm) [for deformed viz]
L_vm (N,) float32 surface von Mises stress (MPa)
L_maxu float max displacement magnitude over the volume (mm)
L_p95vm float 95th-percentile von Mises over volume nodes (MPa)
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BOUNDARY CONDITION NPZ CONTENTS (2_boundary_conditions/<case>.npz)
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*** ALL indices are into the npz surface_points array of 3_fea_fields/<case>.npz ***
*** (the 25k FEM surface mesh, ~24.9k verts) — NOT the native 50k meshes/.obj. ***
bolt_idx (B,) int32 clamped (Dirichlet) surface nodes = the 4 bolt holes
bolt_holes (B,) int8 hole label 0..3 for each bolt_idx node (spatial k=4;
a few cases may show 3 labels if two holes merge)
lug_idx (L,) int32 loaded (Neumann) surface nodes on the lug/clevis bore
(same load nodes shared by all 4 load cases)
n_surface int32 number of surface_points (sanity vs fields npz)
R float32 lug bore radius (mm)
jaccard_bolt float32 QC: agreement of re-detected vs U==0 bolt set (~1.0)
frame str "surface_points (mm, 25k FEM mesh); same index as 3_fea_fields/<case>.npz"
Provenance:
- bolt_idx recovered EXACTLY from the solved fields: nodes with U==0 in ALL 4
load cases (the Dirichlet-clamped set the solver actually fixed).
- lug_idx re-detected with the deterministic §3.4.1 bolt/lug pipeline
(trellis_local.prep) and mapped to surface_points via nearest-neighbour --
the same mapping fem_solver_nf uses; verified against the U==0 bolt set
(mean Jaccard 0.9997 over all 15,360).
Usage example:
bc = np.load("2_boundary_conditions/<case>.npz")
fp = np.load("3_fea_fields/<case>.npz")["surface_points"]
clamped_xyz = fp[bc["bolt_idx"]] # mm coords of clamped bolt nodes
loaded_xyz = fp[bc["lug_idx"]] # mm coords of loaded lug nodes
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SCALAR LABEL COLUMNS (deepjebpp_labels.csv)
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case, mass_g, vol_mm3, cov_min, dXZ, R,
ver_maxu, ver_p95vm, ver_maxvm,
hor_maxu, hor_p95vm, hor_maxvm,
dia_maxu, dia_p95vm, dia_maxvm,
tor_maxu, tor_p95vm, tor_maxvm
- mass_g = mass (Ti-6Al-4V, rho=4.43e-3 g/mm^3) x enclosed volume of the
registered native ~50k mesh (full-resolution, pymeshfix-watertight).
- vol_mm3 = that enclosed volume (mm^3).
- The 3_fea_fields npz store maxu/p95vm; the CSV additionally has maxvm = max von Mises.
(trellis_fea_percase.csv is the same table WITHOUT mass_g/vol_mm3 — superseded.)
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NOTES
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* All 15,360 fields are at the SAME 25k mesh density (consistent labels).
* 6 geometrically complex cases failed the standard 25k decimation (self-
intersecting facets -> tetgen reject). They were re-solved with a robust
decimation (pymeshfix-clean the original BEFORE decimating; same 25k target
and same tetgen switches). Their scalars match the CSV within ~0.1-18%
(vs +30-170% if solved at 200k), so they remain on the 25k scale:
187-384-diag_xz_mm_IS06, 217-136-diag_xz_mm_IS09, 384-123-diag_xz_mm_IS00,
384-136-diag_xz_mm_IS18, 384-279-diag_xz_mm_IS13, 384-548-diag_xz_mm_IS08
* Field npz store surface (boundary) values; max/p95 scalars are over the full
volume mesh.
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LICENSE
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This dataset is distributed under the Open Data Commons Attribution
License (ODC-By) v1.0. See the LICENSE file.
Free to use, modify, and share -- including commercially -- with attribution
(please cite the DeepJEB++ paper and the upstream SimJEB and DeepJEB datasets).
https://opendatacommons.org/licenses/by/1-0/
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