docs: total_energy is kinetic + internal, not the run's total (data v0.1.1)
Browse files
README.md
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@@ -34,8 +34,8 @@ root = snapshot_download("StructBench/taylor-impact-2d", repo_type="dataset")
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```
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`cases.csv` lists every case with its split and loading/geometry
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parameters plus a SHA-256 manifest; pin the dataset repo's `v0.1.
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tag (`revision="v0.1.
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version) for reproducible pipelines. Point
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`structbench-train --data-root` at the snapshot directory.
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Code, benchmark protocol, and leaderboards:
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@@ -52,7 +52,7 @@ Autoregressive next-step surrogate of a 2D SPH copper bar under Taylor impact ag
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- Source units: g-mm-ms (files are strict SI, ADR-0012)
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- Cases: 33 (train 21, val 3, test_interp 6, test_extrap 3)
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- Particles per case: 4800-8000; 152 frames at 0.002 ms; 2.4 GB on disk
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-
- Fields: node/displacement, node/velocity, node/acceleration, sph/stress, sph/strain, sph/strain_rate, sph/effective_plastic_strain, sph/pressure, sph/density, sph/internal_energy, sph/mass, sph/radius, sph/n_neighbors, sph/deletion, global/kinetic_energy, global/internal_energy, global/total_energy
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- Provenance: LS-DYNA parametric sweep (3 bar lengths x 11 impact velocities) produced by Curtin collaborators; benchmark protocol per ADR-0019. One extra Convergence run is held aside for a mesh-resolution check.
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- License: CC BY 4.0
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@@ -90,7 +90,7 @@ One HDF5 file per case, readable with `h5py` or any HDF5 tool. Every quantity is
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| `response/element/sph/effective_plastic_strain` | (T, P) | f32 | whatever the material model writes to LS-DYNA's plastic-strain history slot: equivalent plastic strain [–] for elastoplastic models, the K&C concrete model's scaled damage measure (0–2) for `*MAT_CONCRETE_DAMAGE_REL3`, and an unrelated history variable for purely elastic materials (treat as unused) |
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| `response/element/sph/{radius, n_neighbors, deletion}` | (T, P) | f32 | smoothing length [m], neighbour count, 0/1 deletion flag |
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| `response/element/<other>/…` | (T, E, …) | f32 | per-element response of any further element group |
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| `response/global/{kinetic_energy, internal_energy, total_energy}` | (T,) | f32 | [J] |
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`sph/stress` and `sph/strain` are 6-component Voigt tensors; scalar targets are loader-derived (see the card's aux field).
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@@ -116,7 +116,7 @@ from structbench.datasets import load_case_trajectory
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traj = load_case_trajectory("<case_id>.h5", aux_field="von_mises_stress")
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traj.positions # (T′, P, d) float32, mm
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traj.aux # (T′, P) float32, MPa
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traj.time # (T′,) float64, s
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```
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```
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`cases.csv` lists every case with its split and loading/geometry
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parameters plus a SHA-256 manifest; pin the dataset repo's `v0.1.1`
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tag (`revision="v0.1.1"` — a data release, independent of the code
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version) for reproducible pipelines. Point
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`structbench-train --data-root` at the snapshot directory.
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Code, benchmark protocol, and leaderboards:
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- Source units: g-mm-ms (files are strict SI, ADR-0012)
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- Cases: 33 (train 21, val 3, test_interp 6, test_extrap 3)
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- Particles per case: 4800-8000; 152 frames at 0.002 ms; 2.4 GB on disk
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- Fields: node/displacement, node/velocity, node/acceleration, sph/stress, sph/strain, sph/strain_rate, sph/effective_plastic_strain, sph/pressure, sph/density, sph/internal_energy, sph/mass, sph/radius, sph/n_neighbors, sph/deletion, shell/stress, shell/effective_plastic_strain, shell/internal_energy, shell/thickness, shell/is_alive, global/kinetic_energy, global/internal_energy, global/total_energy
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- Provenance: LS-DYNA parametric sweep (3 bar lengths x 11 impact velocities) produced by Curtin collaborators; benchmark protocol per ADR-0019. One extra Convergence run is held aside for a mesh-resolution check.
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- License: CC BY 4.0
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| `response/element/sph/effective_plastic_strain` | (T, P) | f32 | whatever the material model writes to LS-DYNA's plastic-strain history slot: equivalent plastic strain [–] for elastoplastic models, the K&C concrete model's scaled damage measure (0–2) for `*MAT_CONCRETE_DAMAGE_REL3`, and an unrelated history variable for purely elastic materials (treat as unused) |
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| `response/element/sph/{radius, n_neighbors, deletion}` | (T, P) | f32 | smoothing length [m], neighbour count, 0/1 deletion flag |
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| `response/element/<other>/…` | (T, E, …) | f32 | per-element response of any further element group |
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| `response/global/{kinetic_energy, internal_energy, total_energy}` | (T,) | f32 | [J], as the solver's state output writes them. **`total_energy` is `kinetic + internal`**, to float32; it is NOT the run's total energy, because it excludes dissipation terms the solver's own energy ledger carries (rigid-wall work, contact, hourglass, damping). Which of those a given run had is a property of that run: on the Taylor sweep, the only one of these archives whose runs kept an energy ledger, the omission is the rigid-wall work and reaches 0.6-1.2 % of the peak, growing through the run. Do not read this channel as an energy balance: for that, see the verification report at <https://github.com/qilinli/StructBench/blob/main/docs/datachecks/taylor_impact_2d.md>, which reports the balance where the run recorded one |
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`sph/stress` and `sph/strain` are 6-component Voigt tensors; scalar targets are loader-derived (see the card's aux field).
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traj = load_case_trajectory("<case_id>.h5", aux_field="von_mises_stress")
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traj.positions # (T′, P, d) float32, mm
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traj.aux # (T′, P, C) float32, MPa (C = 1 here; ADR-0059)
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traj.time # (T′,) float64, s
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```
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card.json
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@@ -45,6 +45,11 @@
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"sph/radius",
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"sph/n_neighbors",
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"sph/deletion",
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"global/kinetic_energy",
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"global/internal_energy",
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"global/total_energy"
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@@ -71,5 +76,14 @@
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}
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],
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"data_access": "the canonical archive is public on Hugging Face \u2014 [StructBench/taylor-impact-2d](https://huggingface.co/datasets/StructBench/taylor-impact-2d) (CC BY 4.0): one `.h5` per case (the held-aside Convergence run included, `split=held_aside` in the manifest), `cases.csv` (split, loading/geometry parameters, SHA-256 manifest) and the LS-DYNA input decks under `decks/`. Fetch one case with `hf_hub_download` or the whole archive with `snapshot_download` and point `--data-root` at it; pin the dataset repo's `v0.1.0` tag (`revision=\"v0.1.0\"` \u2014 a data release, independent of the code version) for reproducible pipelines. The maintainer's OneDrive copy remains the master (ADR-0040, amended 2026-08-28).",
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"data_access_label": "public on Hugging Face \u2014 [StructBench/taylor-impact-2d](https://huggingface.co/datasets/StructBench/taylor-impact-2d)"
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}
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"sph/radius",
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"sph/n_neighbors",
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"sph/deletion",
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"shell/stress",
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"shell/effective_plastic_strain",
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"shell/internal_energy",
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"shell/thickness",
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"shell/is_alive",
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"global/kinetic_energy",
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"global/internal_energy",
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"global/total_energy"
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}
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],
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"data_access": "the canonical archive is public on Hugging Face \u2014 [StructBench/taylor-impact-2d](https://huggingface.co/datasets/StructBench/taylor-impact-2d) (CC BY 4.0): one `.h5` per case (the held-aside Convergence run included, `split=held_aside` in the manifest), `cases.csv` (split, loading/geometry parameters, SHA-256 manifest) and the LS-DYNA input decks under `decks/`. Fetch one case with `hf_hub_download` or the whole archive with `snapshot_download` and point `--data-root` at it; pin the dataset repo's `v0.1.0` tag (`revision=\"v0.1.0\"` \u2014 a data release, independent of the code version) for reproducible pipelines. The maintainer's OneDrive copy remains the master (ADR-0040, amended 2026-08-28).",
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"data_access_label": "public on Hugging Face \u2014 [StructBench/taylor-impact-2d](https://huggingface.co/datasets/StructBench/taylor-impact-2d)",
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"units_anchors": [
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{
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"kind": "density",
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"si_value": 8900.0,
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"digits": 2,
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"input_quantity": "material:2:density",
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"source_kind": "handbook"
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}
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]
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}
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