| --- |
| license: cc-by-4.0 |
| pretty_name: digitalmodel — Pipeline & Riser Integrity |
| tags: |
| - analysis-results |
| configs: |
| - config_name: wall_thickness |
| data_files: wall_thickness.parquet |
| - config_name: wall_thickness_tension_moment |
| data_files: wall_thickness_tension_moment.parquet |
| --- |
| |
| # digitalmodel — Pipeline & Riser Integrity |
|
|
| Analysis/computation results published for query + visualization via the Hugging Face |
| datasets-server API. Generated by `scripts/hf/save_results_to_hf.py`. |
|
|
| ## Tables |
|
|
| | config | rows | cols | |
| |---|---|---| |
| | `wall_thickness` | 369 | 15 | |
| | `wall_thickness_tension_moment` | 354609 | 16 | |
|
|
| ## Data-quality notes |
|
|
| Own computed analysis from the digitalmodel wall-thickness solver, reshaped to tidy rows by scripts/hf/build_capability_datasets.py. Reference pipe geometry only (323.9 mm OD, X65) - no client or project-specific data. wall_thickness: the original pressure-only sweep; per-check columns are sparse BY DESIGN because codes do not share a check set, so a null means the code defines no such check. wall_thickness_tension_moment (#1915): the same pipe swept over wall thickness x effective tension x bending moment across all nine codes, 354,609 rows; load ranges derived from capacity at the 18 mm mid-range wall (T_max = 0.6*T_y = 4.6498 MN, M_max = 0.6*M_y = 355.59 kN.m). It exists because the pressure-only sweep left the API-STD-2RD combined check at 0.0 everywhere; over these axes it spans 0 to 3.88 and GOVERNS at 30,855 points. Utilisation above 1.0 is retained deliberately. Screening only. |
|
|
| ## Provenance |
|
|
| - Source repo: `vamseeachanta/digitalmodel` · algorithm: `wall_thickness_screening+tension_moment_study` |
| - Schema version: `1.0.0` |
| - Source snapshots (sha256): |
|
|
| - `wall_thickness.json` — sha256 `8303ff5fdd91f15a…` |
| - `wall_thickness_tension_moment.json` — sha256 `f86193595d099087…` |
|
|
| Nulls are genuine missing values (non-finite floats were coerced to null). Load a table: |
| `pandas.read_parquet(hf_hub_download("aceengineer/digitalmodel-integrity", "<config>.parquet", repo_type="dataset"))`. |
|
|
