Emergency Rehabilitation of Critical Water Main in Ottawa
Bibliographic record
Abstract
In 2021, the City of Ottawa (Ottawa) managed an urgent repair to their 1,200-mm Woodroffe Water Main, ensuring continued safe and reliable pipeline operation. They were alerted to an increased rate of deterioration via their acoustic fiber optic (AFO) system that has been installed since 2011 to monitor the pipeline for wire breaks in near real time. The Woodroffe Water Main is comprised of prestressed concrete cylinder pipe (PCCP), for which wire break is an indicator of deterioration. In February 2021, an increase in wire breaks was observed at two pipe sections. Ottawa has performance curves based on finite element analysis, for the Woodroffe Water Main, which provide a threshold number of wire breaks for rehabilitation recommendations. While the two pipes were still below the threshold, the breaks were occurring quickly and Ottawa had to consider the limited time options for taking the pipeline out of service for repair with respect to upcoming projects. The pipe sections were under a culvert, making excavation extremely difficult; therefore an internal repair method was required. Ultimately, Ottawa decided to move forward with rehabilitation using internal carbon fiber reinforced polymer. This paper presents the planning, challenges, and decision making that took place from the time of increased break activity to the completion of the repair. The results of this rehabilitation allowed Ottawa to continue confidently utilizing this water main.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".