Anisotropic Fatigue Modeling Of Wrought Magnesium Alloys
Bibliographic record
Abstract
The merit of Jahed-Varvani (JV) as an energy-based model and Smith-Watson-Toper (SWT) as a critical plane fatigue model are assessed for three wrought magnesium alloys.The raw data, including the stabilized strain-stress hysteresis loops and strain-life curves, was collected from the literature.The SWT model provided more scattered predictions than the JV model, which suggests that the JV model is more appropriate for fatigue modeling of wrought magnesium alloys, that exhibit anisotropic and asymmetric behavior.A discussion justifies the differences between the predictions of the two models.Eventually, the life of the materials in different directions is predicted by one set of JV parameters, which was previously extracted for AM30 in the transverse direction.The promising results provide supplementary support for the auspicious capability of strain energy density as a damage parameter for wrought magnesium alloys.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".