A Unified Formulation of Fatigue Life Under Unbalanced Cyclic Loading Profile
Bibliographic record
Abstract
ABSTRACT In this study, a unified formulation is derived for fatigue crack nucleation under general unbalanced cyclic loading profiles, and it is combined with the integrated creep‐fatigue theory (ICFT) to give a physics‐based theoretical description from very low cycle fatigue to high cycle fatigue, rather than building up by empirical rules. Using several engineering alloys as illustrative examples, the model has been shown to effectively include the effects of mean stress/ratcheting strain, and monotonic plastic damage in metal fatigue. For small‐amplitude loading cases, it works equivalently well as the SWT model, but it goes beyond the empirical data‐collapsing method to predict fatigue life based on the material's basic physical/mechanical properties such as the elastic modulus, Poisson's ratio, surface energy, and Burgers vector. Therefore, it offers a unified tool for fatigue design and analysis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".