Effects of Coupler Specifications and Operational Conditions on the Longitudinal Freight Train Dynamics
Bibliographic record
Abstract
The longitudinal dynamics of railway vehicles is studied in this paper. The model is a time domain and nonlinear one. Model includes a train-consist containing one locomotive, nine wagons and nine automatic couplers between them. The effects of different parameters, (such as stiffness and damping of automatic couplers, train speed and train acceleration during both accelerating and braking process) on the longitudinal train dynamics are investigated in a parametric study. It is found that increase of the train operational speed has no effect on the maximum tractive forces while it results in increasing the maximum pressing forces as well as the RMS (Root mean square) value of the coupler forces. Higher acceleration during accelerating leads to higher maximum tractive and pressings forces and also higher RMS value of the coupler forces. Although increase of acceleration during braking results in higher pressing coupler forces, but it has no effect on the maximum tractive force.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".