University of Alberta: Large Diameter Twin Raw Water Intake Pipeline Inspection, Condition Assessment, and Rehabilitation
Bibliographic record
Abstract
The University of Alberta’s cooling plant (CP) uses the North Saskatchewan River (NSR) water to produce chilled water used to meet the university’s cooling needs. The river water is supplied to the plant via two concrete intake structures located on the bed of the river, each connected to a wet well by a “1980 built 54-in. diameter steel pipe,” which runs under the riverbed perpendicularly to the river flow. Inspection and condition assessment efforts completed in 2020 on the 320 ft long west intake pipe revealed significant tuberculation build-up, scale deposits, multiple pinhole, and weeping leaks. The rehabilitation program started with evaluation of the technical viability and overall suitability of various rehabilitation methodologies with consideration given to all applicable characteristics of the pipe and the anticipated service life extension. Composite liner system (combining CFRP and GFRP) emerged as the most technically viable option. The rehabilitation activities were completed successfully in September 2022 to design, specifications, schedule, and budget with no safety incident.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".