Mechanical Properties and Strength of Aged Cast Iron Water Pipes
Bibliographic record
Abstract
The problem of aging water pipes manifesting leaks and breaks is common to municipalities throughout the North American continent and the world. The age distribution of the failing pipes is broad and the pipe material originates from periods when different manufacturing technologies were employed. Consequently, cast iron pipes exhibit a significant variability of material properties. In addition, these pipes are also in a more or less advanced state of deterioration as a result of corrosion phenomena. A general knowledge of the properties and state of deterioration of a water main network is needed to understand the failure mechanisms contributing to water pipe failure. Among them, knowledge of the mechanical properties of the pipe material itself is fundamental. To achieve this goal, an extensive pipe and soil sampling and testing program was undertaken on excavated pipes in Toronto, Ontario. The mechanical tests performed on pipes included tension, compression, and ring bearing tests as well as full-scale longitudinal bending tests. The outcome of this experimental investigation contributes towards a better understanding of the complex phenomena involved in the pipe failure process.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".