Datasets:
Commit ·
dbf0b71
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Parent(s):
Macro material properties for 3D physics simulation
Browse files- .gitattributes +61 -0
- LIMITATIONS.md +116 -0
- README.md +216 -0
- class_defaults.csv +16 -0
- partnext_material_rho_E_nu_CC-BY-4.0.csv +3 -0
- partnext_material_rho_E_nu_CC-BY-SA-4.0.csv +0 -0
- partnext_material_rho_E_nu_ODbL.csv +0 -0
.gitattributes
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# Audio files - uncompressed
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partnext_material_rho_E_nu_CC-BY-4.0.csv filter=lfs diff=lfs merge=lfs -text
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LIMITATIONS.md
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| 1 |
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# Known limitations, with measured magnitudes
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| 2 |
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| 3 |
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Every figure below was measured from data inside this table, not asserted.
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| 4 |
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| 5 |
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## 1. Anisotropy is collapsed to isotropy — 19,299 rows
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| 6 |
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| 7 |
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Wood and fibre-reinforced laminates are orthotropic. This table stores one E (the
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| 8 |
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longitudinal / fibre-direction modulus) and one ν, so an isotropic solver will get the
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**deformation shape** wrong even when the magnitude is right.
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The table contains 287 rows whose shear modulus is source-reported, which lets the
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isotropic identity G = E/(2(1+ν)) be checked directly:
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| 13 |
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| 14 |
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| material group | n | closure vs measured G |
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| 15 |
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|---|---|---|
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| 16 |
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| isotropic classes (metals, ceramics, glass, rock) | 273 | **0.24 % median error** — identity holds |
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| 17 |
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| wood (Populus tremula veneer, oak consensus) | 2 | over-predicts **3.3–5.2×** |
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| 18 |
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| fibre laminates (carbon / aramid / basalt / glass) | 7 | over-predicts **3.8–8.9×** |
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| 19 |
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| paper, machine direction | 13 | over-predicts 1.4–1.6× |
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| 20 |
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| 21 |
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The isotropic control group at 0.24 % shows the method is sound; the error is entirely
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| 22 |
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the anisotropy collapse. Transverse stiffness of wood and laminates is therefore too
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| 23 |
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high by roughly 3–9×. For rigid-body contact this is irrelevant; for FEM/MPM
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| 24 |
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deformation it is the dominant error.
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| 25 |
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| 26 |
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Particulate composites (24 glass-sphere/epoxy rows) are genuinely isotropic and carry
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no such caveat.
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| 29 |
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## 2. E on wood is a density regression — 19,033 rows
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| 30 |
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| 31 |
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Only 1.4 % of wood rows have a species-measured E. The rest are computed from density
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| 32 |
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by the USDA Wood Handbook specific-gravity regression.
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| 33 |
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| 34 |
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- **13,265 rows (ρ ≥ 500) carry a calibrated regression value** (×1.226). The factor comes from
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| 35 |
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`fill_log.csv`, which retains both the round-1 regression value and the round-5
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| 36 |
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USDA measured MOE for the same cell. Leave-one-out validation, n = 10:
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| 37 |
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median bias **−18.4 % → +0.0 %**, share of \|error\| > 20 % **30 % → 0 %**.
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| 38 |
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- **5,768 rows (ρ < 500) carry the uncalibrated regression** — the required factor
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| 39 |
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scatters 0.50–1.29 there, so no single factor is supportable. Residual bias ≈ −18 %.
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| 40 |
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- **672 rows are flagged for a low-density over-prediction**: below ρ ≈ 400 the power law
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| 41 |
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over-predicts; measured over-estimate on 5 reference species is **+54 % median**
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| 42 |
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(worst: *Ceiba pentandra*, measured 2.8 GPa vs regression 5.56 GPa, +99 %).
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| 43 |
+
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| 44 |
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The residual disagreements are structural rather than calibration error: the
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| 45 |
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exponent 0.72 compresses the dense end, and the 17 calibration species are all
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| 46 |
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tropical imports from USDA Table 5-5a, so temperate softwoods remain slightly low.
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| 47 |
+
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| 48 |
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## 3. Moisture basis — all wood is on a 12 % MC basis
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| 49 |
+
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| 50 |
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GWDD v.2 is an ecology database: it stores **basic density** (oven-dry mass / green volume)
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| 51 |
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and the matched USDA values are **green** MOE. CIRAD stores 12 %-MC density and 12 %-MC
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| 52 |
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MOE. Those two conventions are not comparable, and a species present in both databases
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| 53 |
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would otherwise appear twice on different scales.
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| 54 |
+
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| 55 |
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The 18,046 GWDD rows are therefore expressed at 12 % MC: ρ × **1.213**, E × **1.179**. Both factors
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| 56 |
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were measured inside the table — 793 species present in both databases give the density
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| 57 |
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ratio, 11 species with USDA measured MOE in both give the modulus ratio (e.g.
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| 58 |
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*Ceiba pentandra* 2.8 / 3.7, *Terminalia superba* 5.3 / 7.0). Prior-knowledge pass rate
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| 59 |
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on 68 reference species rose from 78 % to 94 %.
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| 60 |
+
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| 61 |
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The original basic density is recoverable by dividing by 1.213, and is in the source
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| 62 |
+
file `gwdd_v2.2.csv`. Three species are absent from this table because their converted
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| 63 |
+
density would exceed the density of wood cell-wall substance (~1500 kg m⁻³) — two of them
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| 64 |
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are palms, which are not true wood.
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| 65 |
+
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| 66 |
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## 4. ν is a group median on 19,138 rows
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| 67 |
+
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| 68 |
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Wood ν comes from USDA Wood Handbook Table 5-2 softwood/hardwood group medians
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| 69 |
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(0.341 / 0.3665). The 156 species-level values in this table span **0.229–0.495**
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| 70 |
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(σ = 0.051), so a single species can be off by ±38 %.
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| 71 |
+
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| 72 |
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This cannot currently be improved: ν shows no exploitable density trend
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| 73 |
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(r = +0.202 against log ρ), so the group median is the best available estimate.
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| 74 |
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| 75 |
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A further **1,144 rows** carry a ν whose upstream reference literally reads
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| 76 |
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*"this dataset (self-referential prior)"* — agreement with other rows of the same class
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| 77 |
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is therefore **not** independent validation.
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| 78 |
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| 79 |
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## 5. Values whose citation does not report them — 636 rows
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| 80 |
+
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| 81 |
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On these rows the cited paper does **not** report the quantity; an alloy-family ASM
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| 82 |
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value was substituted upstream after the original was judged corrupt (e.g. AZ40 raw
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| 83 |
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325.8 GPa, Hastelloy X raw 5.07 GPa). They are labelled `family_standard`, never
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| 84 |
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`source`. Within-family spread of measured values is ±4–6 % for aluminium, stainless,
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| 85 |
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carbon steel and titanium, and ±32 % for magnesium.
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| 86 |
+
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| 87 |
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## 6. Volumetric locking — 48 rows
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| 88 |
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| 89 |
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38 elastomer rows at ν = 0.49 and 10 wood rows at ν = 0.485–0.495 would lock linear
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| 90 |
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tetrahedra and cause pressure oscillation in MLS-MPM. `poissons_ratio_fem_safe` clamps
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| 91 |
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them to 0.45.
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| 92 |
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The cost is real: K/G falls from 49.7 at ν = 0.49 to 9.7 at ν = 0.45. With mixed /
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| 93 |
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F-bar elements or a near-incompressible constitutive model, use the original column.
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| 94 |
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| 95 |
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## 7. Unit-of-measurement caveats on individual rows
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| 96 |
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| 97 |
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- `Twaron aramid yarn [fibre-direction, …]` (2 rows): ρ = 1440 is **fibre** density and
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| 98 |
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E is the fibre-direction modulus — not fabric-scale values. Renamed to make this explicit.
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| 99 |
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- `Epoxy|Polyester / …wt% phosphate glass fibre` (4 rows): the wt % in the grade name is
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| 100 |
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inconsistent with the reported density (which implies v_f ≈ 0.29–0.48, not 0.07–0.13).
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| 101 |
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ρ and E are mutually consistent and inside Voigt–Reuss bounds; do not use the wt % as
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| 102 |
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a fibre fraction.
|
| 103 |
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- `quartzite`: 23 GPa is a jointed **rock-mass** deformation modulus; intact quartzite is
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| 104 |
+
70–90 GPa.
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| 105 |
+
- `POM` (openpoly): 7.36 GPa is a literature mean that mixes glass-filled and neat grades;
|
| 106 |
+
a neat-resin row (2.075 GPa, takayama2024) is also present.
|
| 107 |
+
|
| 108 |
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## 8. Coverage gaps
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| 109 |
+
|
| 110 |
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- 848 source-reported cells (3.8 %) across ~50 small sources have not been round-tripped
|
| 111 |
+
to an original file — mostly single PMC papers contributing 2–96 cells each.
|
| 112 |
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- The `textile_woven` moduli derived from the Sperl et al. SIGGRAPH 2022 dataset were
|
| 113 |
+
computed from the published force–elongation curves rather than taken as published
|
| 114 |
+
scalars.
|
| 115 |
+
- Wood ν for 19,138 rows and the anisotropy of all wood rows would both be resolved by
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| 116 |
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USDA Wood Handbook Table 5-1 (E_R/E_L, E_T/E_L, G_LR); that table is not yet ingested.
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README.md
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|
| 1 |
+
---
|
| 2 |
+
license:
|
| 3 |
+
- cc-by-4.0
|
| 4 |
+
- cc-by-sa-4.0
|
| 5 |
+
- odbl
|
| 6 |
+
license_details: >-
|
| 7 |
+
Three shards under three incompatible licences; see the licence table below.
|
| 8 |
+
Load one config at a time.
|
| 9 |
+
language:
|
| 10 |
+
- en
|
| 11 |
+
tags:
|
| 12 |
+
- materials-science
|
| 13 |
+
- physics-simulation
|
| 14 |
+
- finite-element
|
| 15 |
+
- mpm
|
| 16 |
+
- wood
|
| 17 |
+
- mechanical-properties
|
| 18 |
+
- 3d-assets
|
| 19 |
+
pretty_name: Macro Material Properties for 3D Physics Simulation
|
| 20 |
+
size_categories:
|
| 21 |
+
- 10K<n<100K
|
| 22 |
+
configs:
|
| 23 |
+
- config_name: permissive
|
| 24 |
+
default: true
|
| 25 |
+
data_files: partnext_material_rho_E_nu_CC-BY-4.0.csv
|
| 26 |
+
- config_name: share_alike
|
| 27 |
+
data_files: partnext_material_rho_E_nu_CC-BY-SA-4.0.csv
|
| 28 |
+
- config_name: odbl
|
| 29 |
+
data_files: partnext_material_rho_E_nu_ODbL.csv
|
| 30 |
+
---
|
| 31 |
+
|
| 32 |
+
# Macro Material Properties for 3D Physics Simulation
|
| 33 |
+
### Grade-level rho / E / nu priors with per-quantity provenance
|
| 34 |
+
|
| 35 |
+
**21,160 rows — 20,315 distinct material grades across 15 macro material classes** —
|
| 36 |
+
each carrying **density ρ, Young's modulus E and Poisson's ratio ν**, assembled from
|
| 37 |
+
56 public sources for annotating 3D assets and driving rigid-body and deformable
|
| 38 |
+
physics simulation (Genesis, Isaac Gym, FEM, MPM).
|
| 39 |
+
|
| 40 |
+
The distinguishing feature of this table is not its size. It is that **every single
|
| 41 |
+
value states what it actually is** — measured, derived, or filled — and where it is not
|
| 42 |
+
a direct measurement, **the error has been quantified against data inside the table
|
| 43 |
+
itself**, not asserted.
|
| 44 |
+
|
| 45 |
+
All fields, including the per-row `citation_gap_note`, are in English.
|
| 46 |
+
|
| 47 |
+
Read `LIMITATIONS.md` before using this for deformable simulation.
|
| 48 |
+
|
| 49 |
+
---
|
| 50 |
+
|
| 51 |
+
## 1 · Veracity — what is actually measured
|
| 52 |
+
|
| 53 |
+
| | ρ | E | ν |
|
| 54 |
+
|---|---|---|---|
|
| 55 |
+
| **reported by the cited source, a handbook, or a grade standard** | **20,329 (96.1 %)** | 1,912 (9.0 %) | 732 (3.5 %) |
|
| 56 |
+
| derived from this row's density | – | 19,033 (89.9 %) | – |
|
| 57 |
+
| handbook softwood/hardwood group median | – | – | 19,138 (90.4 %) |
|
| 58 |
+
| alloy-family / class prior / solver clamp / computed | 831 | 215 | 1,290 |
|
| 59 |
+
|
| 60 |
+
Only **514 rows (2.4 %)** have all three quantities stated directly by a source.
|
| 61 |
+
|
| 62 |
+
**ρ is the only quantity measured at scale.** E and ν are estimates on ~90 % of rows.
|
| 63 |
+
This is a property of the upstream sources — the Global Wood Density Database, which
|
| 64 |
+
supplies 85 % of the rows, publishes density only. What this table adds is that each
|
| 65 |
+
estimate is labelled for what it is and its error is measured.
|
| 66 |
+
|
| 67 |
+
The `value_provenance` column states the origin of each quantity separately, e.g.
|
| 68 |
+
`rho=source;E=derived_from_rho;nu=handbook_group`. The `citation_gap_note` column then
|
| 69 |
+
says, for each non-source value, exactly where it came from and what its measured error
|
| 70 |
+
is. **636 rows carry a value that the cited paper does not report at all** — an
|
| 71 |
+
alloy-family standard substituted upstream after the original was judged corrupt. Those
|
| 72 |
+
are labelled `family_standard`, never `source`, and say so in the note.
|
| 73 |
+
|
| 74 |
+
## 2 · Plausibility — how it was checked
|
| 75 |
+
|
| 76 |
+
Four independent checks, none of which relies on assertion:
|
| 77 |
+
|
| 78 |
+
**Internal consistency of wood (19,294 rows).** Longitudinal sound speed √(E/ρ) has
|
| 79 |
+
median **4,296 m s⁻¹**, P1 4,056, P99 4,727. This is the known species-invariant value
|
| 80 |
+
for wood, so E and ρ are mutually consistent row by row — a check that needs no external
|
| 81 |
+
reference at all.
|
| 82 |
+
|
| 83 |
+
**Isotropic elasticity closure (287 rows with a source-reported shear modulus).**
|
| 84 |
+
G = E/(2(1+ν)) holds to a **median 0.24 %** on the 273 rows in isotropic classes. The same
|
| 85 |
+
identity over-predicts by 3.3–8.9× on wood and fibre laminates — which is how the anisotropy
|
| 86 |
+
caveat in `LIMITATIONS.md` is quantified rather than guessed. (The few outliers inside the
|
| 87 |
+
isotropic set are themselves anisotropic materials, e.g. foliated gneiss.)
|
| 88 |
+
|
| 89 |
+
**Prior-knowledge spot check.** 101 checks over 68 well-characterised timber species
|
| 90 |
+
spanning temperate/tropical, softwood/hardwood and the full density range:
|
| 91 |
+
**ρ 96/101, E 95/101** inside published ranges.
|
| 92 |
+
|
| 93 |
+
**Numerical conditions, every row.** 0 rows with ν ∉ [0, 0.5), non-positive bulk or
|
| 94 |
+
shear modulus, or out-of-range wave speed.
|
| 95 |
+
|
| 96 |
+
Two calibration steps sit behind the wood values, both with factors derived from data
|
| 97 |
+
inside the table and both validated: the density regression is calibrated against USDA
|
| 98 |
+
measured MOE (leave-one-out median bias +0.0 %), and all wood is expressed on a single
|
| 99 |
+
12 % moisture basis. `LIMITATIONS.md` §2–3 gives the factors and their derivation.
|
| 100 |
+
|
| 101 |
+
## 3 · Traceability — every value has a recorded origin
|
| 102 |
+
|
| 103 |
+
- **96.2 % of source-reported cells were round-tripped**: recomputed from the original
|
| 104 |
+
upstream data file and matched. GWDD 18,046/18,046 recomputed from 109,626 raw
|
| 105 |
+
measurement records under the documented aggregation rule; CIRAD 1,010/1,010;
|
| 106 |
+
SciGlass 890/890; USDA 444/444; Materials Project 342/342; StressEng 677/677.
|
| 107 |
+
- **Every filled cell traces to an upstream `fill_log` entry** — 40,936 cells, 0 unmatched.
|
| 108 |
+
Where a value differs from the raw log entry it is because one of the two calibration
|
| 109 |
+
steps in `LIMITATIONS.md` §2–3 applies, and the row says so.
|
| 110 |
+
The log records the route and the reference for each fill (e.g. `C_SG_REGRESSION` →
|
| 111 |
+
USDA Wood Handbook FPL-GTR-190 Ch. 5).
|
| 112 |
+
- **Grade names**: 84.0 % verified against a formal designation system — 17,597 botanical
|
| 113 |
+
binomials resolved to `accepted` in World Flora Online, plus CHEMICAL_FORMULA, AA, AISI/SAE
|
| 114 |
+
and steel grade codes. The remaining 16 % are trade or descriptive names with no standard
|
| 115 |
+
designation. Only 2 non-grade-level rows survive in the published shards (both named
|
| 116 |
+
`[proxy]`); the other 23 class-level envelopes were withheld.
|
| 117 |
+
- The remaining 848 source cells (3.8 %) come from ~50 small sources, mostly single
|
| 118 |
+
open-access papers contributing 2–96 cells each, cited but not independently re-derived.
|
| 119 |
+
|
| 120 |
+
## 4 · Physics simulation — what you can run
|
| 121 |
+
|
| 122 |
+
**Rigid body (Genesis, Isaac Gym): ρ and E are ready, friction is not in this table.**
|
| 123 |
+
ρ is measured on 96 % of rows and is what sets mass and inertia; E only enters contact
|
| 124 |
+
stiffness, where order-of-magnitude accuracy suffices. A rigid-body material in Genesis or
|
| 125 |
+
Isaac also needs static and dynamic friction and a restitution coefficient, and **this
|
| 126 |
+
release carries none of them** — supply them from your own contact model. Restitution in
|
| 127 |
+
particular is a contact-pair property, not a material constant, and no source here reports it.
|
| 128 |
+
|
| 129 |
+
**Deformable (FEM / MPM): no row diverges, and the caveats are per-row.**
|
| 130 |
+
|
| 131 |
+
| tier | rows | share | meaning |
|
| 132 |
+
|---|---|---|---|
|
| 133 |
+
| **F1** direct | 653 | 3.1 % | no caveat |
|
| 134 |
+
| **F2a** clamp ν | 38 | 0.2 % | ν > 0.45 would lock linear tetrahedra — use `poissons_ratio_fem_safe`. 48 rows carry a clamped value in total; the other 10 are wood and appear under F2b |
|
| 135 |
+
| **F2b** anisotropy collapsed | 18,627 | 88.0 % | magnitude usable, **deformation shape wrong**: transverse stiffness too high by 3–9× |
|
| 136 |
+
| **F2c** ν is a proxy | 1,168 | 5.5 % | numerically fine, directionality lost |
|
| 137 |
+
| **F3** E error known large | 672 | 3.2 % | low-density wood, E over-predicted 30–100 % |
|
| 138 |
+
| **F4** blocked | **2** | 0.01 % | an 8 kPa hydrogel and a 2.5 kPa knit sag > 20 % under self-weight at 0.2 m — real behaviour, not a data error |
|
| 139 |
+
|
| 140 |
+
By class: metals, ceramics, glass, stone, plastics, foam, paper and engineered wood are
|
| 141 |
+
F1/F2c throughout. Wood is F2b because of the isotropic collapse. Elastomers need the
|
| 142 |
+
clamp column.
|
| 143 |
+
|
| 144 |
+
`poissons_ratio_fem_safe` = min(ν, 0.45) is a **solver parameter, not a material property**.
|
| 145 |
+
The cost of clamping is real — K/G falls from 49.7 at ν = 0.49 to 9.7 at ν = 0.45 — so with
|
| 146 |
+
mixed / F-bar elements or a near-incompressible constitutive model, use `poissons_ratio`.
|
| 147 |
+
|
| 148 |
+
**Linear-elastic validity windows** (beyond these, a linear model is the wrong physics
|
| 149 |
+
regardless of parameter accuracy): wood ≈ 0.3–0.5 % strain, laminates ≈ 0.5–1 %, foams
|
| 150 |
+
≈ 2 %, fabrics 1–5 % (the window the moduli were fitted in), elastomers require a
|
| 151 |
+
hyperelastic model above ~10–20 %.
|
| 152 |
+
|
| 153 |
+
---
|
| 154 |
+
|
| 155 |
+
## Three license shards
|
| 156 |
+
|
| 157 |
+
CC BY-SA and ODbL are both share-alike and **cannot be merged into one derived dataset**,
|
| 158 |
+
so the table ships as three. The permissive shard alone covers all 15 classes.
|
| 159 |
+
|
| 160 |
+
| config | rows | licence | contents |
|
| 161 |
+
|---|---|---|---|
|
| 162 |
+
| `permissive` (default) | 19,715 | CC BY 4.0 | CC0 / CC BY / MIT / US-Gov public domain. All 15 classes. |
|
| 163 |
+
| `share_alike` | 1,021 | CC BY-SA 4.0 | CIRAD tropical timber + Wikidata cross-checks |
|
| 164 |
+
| `odbl` | 424 | ODC-ODbL | SciGlass optical and technical glasses |
|
| 165 |
+
|
| 166 |
+
33 further rows are withheld — 12 Ashby teaching-licence class envelopes, 10 internal
|
| 167 |
+
consensus rows, 10 rows whose recorded licence string ("open research dataset") is not a
|
| 168 |
+
licence identifier, and one manufacturer datasheet. No real material is lost, but note the side effect:
|
| 169 |
+
those rows were the class-level fallbacks, so a part identified only as "wood" has no
|
| 170 |
+
single row to fall back on and must be matched against 19,294 species. `class_defaults.csv`
|
| 171 |
+
is provided for that case: a per-class median computed from the permissive shard itself.
|
| 172 |
+
|
| 173 |
+
## Columns
|
| 174 |
+
|
| 175 |
+
| column | meaning |
|
| 176 |
+
|---|---|
|
| 177 |
+
| `material_class` | one of 15 macro classes |
|
| 178 |
+
| `material_grade` | grade / species / designation — unique together with `source_id` |
|
| 179 |
+
| `density_kg_m3` | ρ, kg·m⁻³ |
|
| 180 |
+
| `youngs_modulus_GPa` | E, GPa |
|
| 181 |
+
| `poissons_ratio` | ν as reported or filled |
|
| 182 |
+
| `poissons_ratio_fem_safe` | min(ν, 0.45) — solver parameter, not a material property |
|
| 183 |
+
| `value_provenance` | `rho=…;E=…;nu=…`, per-quantity origin |
|
| 184 |
+
| `citation_gap_note` | for every non-source value: real origin and measured error |
|
| 185 |
+
| `source_id`, `source_citation`, `source_doi_or_url`, `source_license`, `redistribution_clearance` | provenance and licensing |
|
| 186 |
+
|
| 187 |
+
`class_defaults.csv` is a separate 15-row helper for retrieval: per macro class, the median
|
| 188 |
+
ρ / E / ν over the permissive shard with a p10–p90 band, a row count, and a
|
| 189 |
+
`fallback_reliability` flag. Use it only when a part's class is known but no grade can be
|
| 190 |
+
matched — the band shows what falling back costs. Three classes are flagged: `glass`
|
| 191 |
+
(only 3 rows are permissive, 424 are in the `odbl` shard), `textile_woven` (mixes
|
| 192 |
+
fabric-scale and fibre-direction rows five orders of magnitude apart, so its median is
|
| 193 |
+
meaningless) and `wood_solid` (the isotropic-collapse caveat applies to every row).
|
| 194 |
+
|
| 195 |
+
`value_provenance` vocabulary: `source` · `handbook` / `handbook_group` ·
|
| 196 |
+
`named_standard` · `family_standard` (**cited paper does not report this quantity**) ·
|
| 197 |
+
`derived_from_rho` · `class_prior` / `class_prior_self` · `sim_clamp` · `computed`.
|
| 198 |
+
|
| 199 |
+
## Citation
|
| 200 |
+
|
| 201 |
+
Cite the sources listed in each row's `source_citation`. The largest contributors are:
|
| 202 |
+
|
| 203 |
+
- **Fischer, F.J., Chave, J., Zanne, A.E. et al. (2026).** Global Wood Density Database v.2
|
| 204 |
+
(GWDD v.2), v2.2, Zenodo, [10.5281/zenodo.20815517](https://doi.org/10.5281/zenodo.20815517)
|
| 205 |
+
— CC BY 4.0. Accompanying article: Fischer et al. (2026), *Beyond species means — the
|
| 206 |
+
intraspecific contribution to global wood density variation*, New Phytologist,
|
| 207 |
+
[10.1111/nph.70860](https://doi.org/10.1111/nph.70860). Supplies 18,046 rows.
|
| 208 |
+
The source file was identified by checksum: the copy used here
|
| 209 |
+
(`gwdd_v2.2.csv`, 73,386,310 bytes, md5 `646454bd0ebcecb201fe081d0efde8fe`) is
|
| 210 |
+
byte-identical to the file of that name in Zenodo record 20815517.
|
| 211 |
+
- **CIRAD wood density database** (Vieilledent et al.), CC BY-SA 4.0 — 1,010 rows.
|
| 212 |
+
- **USDA FPL Wood Handbook FPL-GTR-190**, US Government work — 262 rows.
|
| 213 |
+
- **StressEng** (Kumar, Kabra & Cole 2024, *Scientific Data* 11:1273), CC BY 4.0 — 749 rows.
|
| 214 |
+
- **SciGlass** (EPAM Systems), ODC-ODbL — 424 rows.
|
| 215 |
+
- **Materials Project** (Jain et al. 2013), CC BY 4.0 — 114 rows.
|
| 216 |
+
- **MIL-HDBK-5J** (2003) and **Smith (1976)** *J. Res. NBS* 80A(1), 45–49, US Government works.
|
class_defaults.csv
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
material_class,n_rows,density_kg_m3_median,density_kg_m3_p10,density_kg_m3_p90,youngs_modulus_GPa_median,youngs_modulus_GPa_p10,youngs_modulus_GPa_p90,poissons_ratio_median,poissons_ratio_fem_safe_median,n_rows_with_source_reported_density,sound_speed_m_s_median,fallback_reliability,note
|
| 2 |
+
wood_solid,18284,715.7,479.1,958.3,13.7414,8.4725,16.9555,0.3665,0.3665,18284,4296.0,usable,"Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched. Dominated by Global Wood Density Database v.2 (Fischer et al. 2026, CC BY 4.0); E is a calibrated density regression on almost every row and the isotropic collapse applies."
|
| 3 |
+
metal_nonferrous,530,2840.0,1800.0,8600.0,72.0,44.8,149.748,0.33,0.33,76,4984.0,usable,Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 4 |
+
metal_ferrous,345,7850.0,7800.0,7850.0,202.9,185.0,210.0,0.29,0.29,22,5084.0,usable,Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 5 |
+
ceramic,134,5816.9,3225.0,9680.0,192.141,89.13095,429.1568,0.2835,0.2835,133,5608.0,usable,Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 6 |
+
plastic_thermoplastic,72,1140.0,922.0,1398.0,1.74145,0.4442,3.0,0.37,0.37,72,1239.0,usable,Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 7 |
+
stone_mineral,62,2644.2,2266.0,3060.7,32.83,10.157,95.86517,0.246,0.246,62,3569.0,usable,Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 8 |
+
plastic_thermoset,56,1200.0,1170.5,1420.0,2.895,1.29075,4.35,0.35,0.35,56,1561.0,moderate (n<60),Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 9 |
+
elastomer_rubber,44,1000.0,970.0,1100.0,0.002051,9.3e-05,0.01835,0.49,0.45,44,45.0,moderate (n<60),Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched. Median nu is 0.49; use poissons_ratio_fem_safe_median (0.45) with linear tetrahedra.
|
| 10 |
+
wood_engineered,43,670.0,502.0,805.3,4.41,3.0,7.554,0.3665,0.3665,43,2613.0,moderate (n<60),Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 11 |
+
textile_woven,35,317.9,221.9,407.0,0.000123,3.8e-05,0.000292,0.37,0.37,34,20.0,moderate (n<60),"Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched. Mixes fabric-scale and fibre-direction rows, which differ by 5 orders of magnitude in E. The median is not meaningful; pick a row, not this default."
|
| 12 |
+
composite,33,1458.2,1233.0,1786.7,5.08,3.126,11.982,0.366,0.366,8,1801.0,moderate (n<60),Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 13 |
+
leather,30,860.0,860.0,860.0,0.02255,0.00955,0.05733,0.3,0.3,29,159.0,moderate (n<60),Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 14 |
+
foam_polymer,23,79.4,17.9,178.1,0.005838,0.002521,0.02657,0.2,0.2,23,379.0,moderate (n<60),Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 15 |
+
paper_cellulose,21,689.7,547.6,875.0,2.149,1.33998,5.234,0.2413,0.2413,2,1830.0,moderate (n<60),Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched.
|
| 16 |
+
glass,3,2230.0,2206.0,2446.0,72.0,72.0,72.0,0.228,0.228,3,5682.0,low (n<10),Class-level fallback for a part whose class is known but whose grade is not. Median over the permissive shard of this release; the p10-p90 band shows how much is lost by falling back. Not a material: prefer a grade-level row when one can be matched. WEAK FALLBACK: only 3 glass rows sit in the permissive shard; the other 424 are in the odbl shard. Load the odbl config for a representative glass value.
|
partnext_material_rho_E_nu_CC-BY-4.0.csv
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:af9f908a9215d0e88492ba1ab750142760c15c241da2c920a0d8fff49a46d2f9
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| 3 |
+
size 59140673
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partnext_material_rho_E_nu_CC-BY-SA-4.0.csv
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partnext_material_rho_E_nu_ODbL.csv
ADDED
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