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Macro material properties for 3D physics simulation

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LIMITATIONS.md ADDED
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1
+ # Known limitations, with measured magnitudes
2
+
3
+ Every figure below was measured from data inside this table, not asserted.
4
+
5
+ ## 1. Anisotropy is collapsed to isotropy — 19,299 rows
6
+
7
+ Wood and fibre-reinforced laminates are orthotropic. This table stores one E (the
8
+ longitudinal / fibre-direction modulus) and one ν, so an isotropic solver will get the
9
+ **deformation shape** wrong even when the magnitude is right.
10
+
11
+ The table contains 287 rows whose shear modulus is source-reported, which lets the
12
+ isotropic identity G = E/(2(1+ν)) be checked directly:
13
+
14
+ | material group | n | closure vs measured G |
15
+ |---|---|---|
16
+ | isotropic classes (metals, ceramics, glass, rock) | 273 | **0.24 % median error** — identity holds |
17
+ | wood (Populus tremula veneer, oak consensus) | 2 | over-predicts **3.3–5.2×** |
18
+ | fibre laminates (carbon / aramid / basalt / glass) | 7 | over-predicts **3.8–8.9×** |
19
+ | paper, machine direction | 13 | over-predicts 1.4–1.6× |
20
+
21
+ The isotropic control group at 0.24 % shows the method is sound; the error is entirely
22
+ the anisotropy collapse. Transverse stiffness of wood and laminates is therefore too
23
+ high by roughly 3–9×. For rigid-body contact this is irrelevant; for FEM/MPM
24
+ deformation it is the dominant error.
25
+
26
+ Particulate composites (24 glass-sphere/epoxy rows) are genuinely isotropic and carry
27
+ no such caveat.
28
+
29
+ ## 2. E on wood is a density regression — 19,033 rows
30
+
31
+ Only 1.4 % of wood rows have a species-measured E. The rest are computed from density
32
+ by the USDA Wood Handbook specific-gravity regression.
33
+
34
+ - **13,265 rows (ρ ≥ 500) carry a calibrated regression value** (×1.226). The factor comes from
35
+ `fill_log.csv`, which retains both the round-1 regression value and the round-5
36
+ USDA measured MOE for the same cell. Leave-one-out validation, n = 10:
37
+ median bias **−18.4 % → +0.0 %**, share of \|error\| > 20 % **30 % → 0 %**.
38
+ - **5,768 rows (ρ < 500) carry the uncalibrated regression** — the required factor
39
+ scatters 0.50–1.29 there, so no single factor is supportable. Residual bias ≈ −18 %.
40
+ - **672 rows are flagged for a low-density over-prediction**: below ρ ≈ 400 the power law
41
+ over-predicts; measured over-estimate on 5 reference species is **+54 % median**
42
+ (worst: *Ceiba pentandra*, measured 2.8 GPa vs regression 5.56 GPa, +99 %).
43
+
44
+ The residual disagreements are structural rather than calibration error: the
45
+ exponent 0.72 compresses the dense end, and the 17 calibration species are all
46
+ tropical imports from USDA Table 5-5a, so temperate softwoods remain slightly low.
47
+
48
+ ## 3. Moisture basis — all wood is on a 12 % MC basis
49
+
50
+ GWDD v.2 is an ecology database: it stores **basic density** (oven-dry mass / green volume)
51
+ and the matched USDA values are **green** MOE. CIRAD stores 12 %-MC density and 12 %-MC
52
+ MOE. Those two conventions are not comparable, and a species present in both databases
53
+ would otherwise appear twice on different scales.
54
+
55
+ The 18,046 GWDD rows are therefore expressed at 12 % MC: ρ × **1.213**, E × **1.179**. Both factors
56
+ were measured inside the table — 793 species present in both databases give the density
57
+ ratio, 11 species with USDA measured MOE in both give the modulus ratio (e.g.
58
+ *Ceiba pentandra* 2.8 / 3.7, *Terminalia superba* 5.3 / 7.0). Prior-knowledge pass rate
59
+ on 68 reference species rose from 78 % to 94 %.
60
+
61
+ The original basic density is recoverable by dividing by 1.213, and is in the source
62
+ file `gwdd_v2.2.csv`. Three species are absent from this table because their converted
63
+ density would exceed the density of wood cell-wall substance (~1500 kg m⁻³) — two of them
64
+ are palms, which are not true wood.
65
+
66
+ ## 4. ν is a group median on 19,138 rows
67
+
68
+ Wood ν comes from USDA Wood Handbook Table 5-2 softwood/hardwood group medians
69
+ (0.341 / 0.3665). The 156 species-level values in this table span **0.229–0.495**
70
+ (σ = 0.051), so a single species can be off by ±38 %.
71
+
72
+ This cannot currently be improved: ν shows no exploitable density trend
73
+ (r = +0.202 against log ρ), so the group median is the best available estimate.
74
+
75
+ A further **1,144 rows** carry a ν whose upstream reference literally reads
76
+ *"this dataset (self-referential prior)"* — agreement with other rows of the same class
77
+ is therefore **not** independent validation.
78
+
79
+ ## 5. Values whose citation does not report them — 636 rows
80
+
81
+ On these rows the cited paper does **not** report the quantity; an alloy-family ASM
82
+ value was substituted upstream after the original was judged corrupt (e.g. AZ40 raw
83
+ 325.8 GPa, Hastelloy X raw 5.07 GPa). They are labelled `family_standard`, never
84
+ `source`. Within-family spread of measured values is ±4–6 % for aluminium, stainless,
85
+ carbon steel and titanium, and ±32 % for magnesium.
86
+
87
+ ## 6. Volumetric locking — 48 rows
88
+
89
+ 38 elastomer rows at ν = 0.49 and 10 wood rows at ν = 0.485–0.495 would lock linear
90
+ tetrahedra and cause pressure oscillation in MLS-MPM. `poissons_ratio_fem_safe` clamps
91
+ them to 0.45.
92
+ The cost is real: K/G falls from 49.7 at ν = 0.49 to 9.7 at ν = 0.45. With mixed /
93
+ F-bar elements or a near-incompressible constitutive model, use the original column.
94
+
95
+ ## 7. Unit-of-measurement caveats on individual rows
96
+
97
+ - `Twaron aramid yarn [fibre-direction, …]` (2 rows): ρ = 1440 is **fibre** density and
98
+ E is the fibre-direction modulus — not fabric-scale values. Renamed to make this explicit.
99
+ - `Epoxy|Polyester / …wt% phosphate glass fibre` (4 rows): the wt % in the grade name is
100
+ inconsistent with the reported density (which implies v_f ≈ 0.29–0.48, not 0.07–0.13).
101
+ ρ and E are mutually consistent and inside Voigt–Reuss bounds; do not use the wt % as
102
+ a fibre fraction.
103
+ - `quartzite`: 23 GPa is a jointed **rock-mass** deformation modulus; intact quartzite is
104
+ 70–90 GPa.
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
+ ## 8. Coverage gaps
109
+
110
+ - 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
+ - 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
116
+ USDA Wood Handbook Table 5-1 (E_R/E_L, E_T/E_L, G_LR); that table is not yet ingested.
README.md ADDED
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+ ---
2
+ license:
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+ - cc-by-4.0
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+ - cc-by-sa-4.0
5
+ - odbl
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+ license_details: >-
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+ Three shards under three incompatible licences; see the licence table below.
8
+ Load one config at a time.
9
+ language:
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+ - en
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+ tags:
12
+ - materials-science
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+ - physics-simulation
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+ - finite-element
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+ - mpm
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+ - wood
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+ - mechanical-properties
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+ - 3d-assets
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+ pretty_name: Macro Material Properties for 3D Physics Simulation
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+ size_categories:
21
+ - 10K<n<100K
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+ configs:
23
+ - config_name: permissive
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+ default: true
25
+ data_files: partnext_material_rho_E_nu_CC-BY-4.0.csv
26
+ - config_name: share_alike
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+ 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
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af9f908a9215d0e88492ba1ab750142760c15c241da2c920a0d8fff49a46d2f9
3
+ size 59140673
partnext_material_rho_E_nu_CC-BY-SA-4.0.csv ADDED
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partnext_material_rho_E_nu_ODbL.csv ADDED
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