Some Methods of Representing Fatigue Lifetime as a Function of Stress Range and Initial Crack Size
Bibliographic record
Abstract
Abstract : An analysis is developed which permits fatigue lifetimes of components with pre-existing crack-like defects to be represented by a single expression which is a function of stress range and initial defect size; this is designated the Fatigue Intensity Factor (FIF). A graphical representation indicates that all such failures will fall upon a single, flat surface. The conventional S-N curve is shown to be a special case of this surface. Outliers from this surface may indicate deficiencies in estimates of stress range, of initial crack length, or that the failure is not due solely to fatigue. An equivalent analysis based upon the concept of threshold stress intensity indicates that a second, flat, intersecting surface exists. The conventional fatigue limit often shown on S-N plots is shown to be a special case of this surface. Existing experimental data are used to define the surface, and examples of its application to the ordering of several potential fatigue failure locations within a single system and to interpreting non-standard fatigue failure are described.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".