A Fast Non-Elliptic Contact Model for Application to Rail Vehicle Dynamics Simulation
Why this work is in the frame
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Bibliographic record
Abstract
An approximate rolling contact model is introduced for fast evaluation of the contact \npatch and stress distribution in the wheel-rail interface, capable of being used on-line \nwith dynamics simulations. The normal part of the model is based on a novel approach in which the surface deformations are approximated, resulting in accurate patch and pressure estimation. The tangential part is based on an adaptation of the FASTSIM algorithm to non-elliptic patches. The new model is compared to the approximate model of Kik and Piotrowski and the results are evaluated using the rigorous solution of Kalker’s CONTACT code. The comparison clearly shows the new model to be more accurate than Kik-Piotrowski’s in terms of contact patch and stress distribution \nas well as creep force estimation
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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) | 0.000 | 0.000 |
| 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) | 0.000 | 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