Improvement of the Dipole Model of a Surface Crack
Bibliographic record
Abstract
In the frame of the dipole model of a crack, a new analytical expression is derived for the z component of the intensity of the leakage magnetic field in the vicinity of a right angular parallelepiped surface crack, assuming parabolic distribution along the crack depth of the surface density of magnetic charge at the crack walls (m). This allows calculation of the Hall voltage to be measured by a Hall element outside the specimen in the proximity of a crack that is proportional to the intensity of a leakage magnetic field. Measurements of the Hall voltage distribution are done on specimens in different magnetization conditions containing artificial cracks. Regression is performed for the Hall voltage distribution, which allows determination of the parameters of the parabolic depth distribution of m. It is shown that the depth distribution of m should not be considered constant, although this has always been done. Instead, a linear depth distribution of m can be used for accurate description of the Hall voltage distributions measured, while m is always larger at the crack tip with respect to the crack mouth. The performance of DMC for nondestructive testing based on magnetic methods can be improved by taking intomore » account the precise depth distribution of m.« less
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".