Acoustic Methods for Determining Remaining Pipe Wall Thickness in Asbestos Cement and Ferrous Pipes
Bibliographic record
Abstract
Water utilities know too well that they face major costs in maintaining and replacing their transmission and distribution pipe networks. And as more and more networks decline each year, these costs are increasing and will peak when water pipes installed during the post-war boom begin to reach the end of their service lives. Gaining access to these pipes to inspect them can be difficult and disruptive-until now. Researchers in IRC's Urban Infrastructure Rehabilitation Program and Echologics Engineering have developed and patented a new non-destructive test method for water utilities to use in evaluating pipe wall thickness The new method relies on measuring how quickly an acoustical signal is transmitted along a section of pipe, using easy-to-access measurement locations such as fire hydrants and control valves. Changes to the signal-specifically changes to its transmission or propagation velocity-can be related to changes in the pipe wall thickness. This paper will outline the background Physics of the method, and provide results from a number of case studies from Hamilton ON, Las Vegas NV, Mapleridge BC, and Bristol in the UK.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".