PR-652-203801-R05 The Lab study Effect of Earths Field and Line Pressure on Magnetization of Pipeline
Bibliographic record
Abstract
Large standoff magnetometry is an emerging non-destructive magnetic test method, which is remote, passive, and non-contact. It is based on the inverse magnetostrictive effect and, therefore, has potential for detection of magnetic anomalies produced by elevated stresses in steel pipelines and ferromagnetic structures. Changes in the local pipeline stress state may arise due to corrosion, cracking, mechanical damage, ground movement (geohazards), or external loading. Laboratory measurements were performed on macroscopic steel samples in the elastic stress regime to investigate the potential for stress detection in steel. The effects of the pipe samples' orientation when degaussed, the generation of a reproducible magnetization state, rotation relative to Earth's magnetic north and then pressurization were also investigated. Three of the seven pipe samples were pressurized with water at 21 MPa (3000 psi), and the effects on the magnetic flux density was measured on the samples' surface in different orientations in Earth's magnetic field. Four-point bending and pressurization was applied to two pipe samples. The results indicate that Earth's magnetic field and its relative orientation with respect to the pipe has a measurable effect on the magnetic state of a pipe, and the resulting magnitude of changes in measured flux density when stress is applied. Changing the orientation of a pipe after degaussing and then applying pressure will also cause more significant changes in the measured magnetic flux density. Pressurization is shown to be the cause of larger changes in magnetization when compared to the effects of bending. The implications for detecting potentially damaging elastic stresses on pipelines using above-ground inspection, large standoff magnetometry, are examined.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.207 | 0.143 |
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".