Comparability of the non-linear and linearized stability assessment during railway vehicle design
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This article compares the linearized and non-linear methods of running stability assessment, as they are used in railway engineering. It is demonstrated that both the results of the linear and the non-linear calculations can exhibit perceptible dispersion at one value of equivalent conicity. The comparisons are carried out on two vehicle types, for different calculation methods and wheel/rail contact conditions. It is shown that by applying a minimum damping of 5% and full creep coefficients of Kalker's linear theory, the linear critical speeds are below the non-linear critical speeds, allowing the application of linearized calculations in preliminary investigations in an early project phase. Keywords: Running stabilityCritical speedNon-linear stability analysisQuasi-linear wheel/rail contact
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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 | 0.001 | 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