A practical approach to controlling rolling contact fatigue in railways
Bibliographic record
Abstract
Rolling contact fatigue (RCF) is a problem for most railways, heavy or light axle load, slow or high speed. A practical strategy for controlling RCF is discussed based on a multi-pronged approach of increasing component resistance to initiation and propagation of RCF, reducing applied stresses that cause RCF, and providing a maintenance regime for both controlling RCF and managing the risk associated with rail or wheel failure due to RCF. RCF is influenced by, and can be controlled by improvements to, the wheel profiles, rail profiles, wheel and rail metallurgy, gauge-face and top-of-rail friction coefficients, track geometry standards, and rolling stock characteristics. Mitigation can include wholesale changes to one parameter or selective and more modest changes to several parameters. Since RCF is a threshold phenomena, even a small reduction in the stresses, or modest increase in the strength of the component, can dramatically reduce the number of contact cycles that promote fatigue. For any given railway, the most appropriate approach to controlling fatigue will depend on its specific operating and maintenance strategies.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".