Analysis and Verification of PCCP Stiffness Testing Using Non-Invasive Acoustics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Life cycle management of pre-stressed concrete cylinder pipe (PCCP) presents unique challenges for water utilities, given concerns for catastrophic failures. New Jersey American Water experienced a significant rupture on a 48” diameter PCCP pipeline in 2012. The utility’s team began evaluating available PCCP test methodologies in 2013 to accelerate their knowledge of condition of the 172+ miles of PCCP in their network. Acoustic wave propagation (AWP) testing was investigated given its ability to quickly test large amounts of pipeline, minimize water supply interruptions, and reduce customer disturbances. AWP survey-level testing can be used to identify concrete pipeline segments with reduced structural stiffness. Reduced pipe wall stiffness in concrete mains may be an indicator of broken prestressing wires, lower prestress, deteriorated mortar coating, cracked concrete core, and other issues. The presentation describes AWP stiffness testing in PCCP mains, and the structural and failure risk analyses (and external pipe inspection results) used to evaluate the predicted pipe stiffness. Test results are evaluated based on variability of the effective (measured) pipe stiffness within a given pipe class, and comparison of the measured versus nominal (calculated) pipe stiffness. The presentation will also include an overview of New Jersey American Water’s tiered approach to pipe condition assessment, and a case study focused on a critical 60” PCCP main.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it