Effect of Size and Volume on the Breaking Properties of Fragile Materials: The Case of Laminate for Orthopedic Acrylic Glass-Perlon Use
Bibliographic record
Abstract
The stresses at break of fragile materials like acrylic resin and composite material for orthopedic use measured in bending are higher than those measured in direct traction. Tests on a composite material for orthopedic use laminated with 6 glass-perlon-acrylic layers (PV-2P-VP) for orthopedic use made it possible to identify its mechanical characteristics and to highlight the influence of the direction of cutting of the samples. The mechanical properties of this material indicate dispersion in the direction of the orientation of the molding which shows values of stress at break and of the Young's modulus which are reduced compared to the values measured in the perpendicular direction. The choice motivates the statistical approach which leads us to apply the Weibull model to assess the dangerousness of a stress in terms of probability of failure. The theoretical predictions are in good agreement with the experimental values. The morphological study of the fracture facies makes it possible to draw up an inventory of the various mechanisms at the origin of the damage and the rupture of these materials and thus to locate the most dominant.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".