Rolling contact fatigue: a comprehensive review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rolling contact fatigue (RCF) is a pervasive and insidious problem on all types of railway systems. Although it is a dominant cause of maintenance and replacements on heavy haul rail lines, it is also a significant economic and safety challenge for commuter and metro lines. It is a subject of intense research around the globe, with strong academic research being undertaken in Europe particularly, with more practical work being performed in Australia, South Africa, and North America. The safety implications of RCF include being responsible for about 100 FRA reportable derailments annually in North America. The poster child for hazardous RCF is the Hatfield derailment in the United Kingdom, which incurred four deaths, 39 injuries, and economic fallout easily exceeding GBP1 billion, dismemberment of the railway authority and manslaughter charges against several railway officials. The economic implications of RCF to the North America railway industry for rail replacement alone amounts to over USD300 million annually, with costs of inspection and derailments, as well as damage to track and rolling stock, and derailment costs further increasing that number. Of the USD100+ million dollars spent annually on rail grinding in North America, at least ≥30 percent can be attributed to RCF. A review of the types or RCF defects on wheels and rails, causal mechanisms and monitoring and maintenance practices has been undertaken for the purpose of identifying gaps and the most pressing areas for research and development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it