Advanced Acoustic Monitoring for PCCP
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
The benefits of using acoustic fiber optic (AFO) monitoring as a tool for condition assessment for prestressed concrete cylinder pipe (PCCP) is well established in the literature and is commercially available for this purpose. However, the monitoring methods in use today are restricted to documenting the occurrence and location of prestressed wire breaks and making a condition determination based on the sum of wire breaks within a given area. This limits the value of monitoring if the number of wire breaks prior to the introduction of monitoring is unknown. The work reported is the result of field tests designed to improve acoustic signal processing for pipe condition assessment in an experimental environment that included burial, pressurization, and intentional damage to the prestressing wires in three specimens of PCCP. The experimental data was analyzed for average root mean square (RMS) power and peak frequency (HEMP) analysis. While the HEMP analysis did not prove useful, the average RMS power showed promise for correlating the signal amplitude with the number of broken wires.
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