Effect of Cutting Slope Angle on Aerodynamic Performance of High-Speed Trains
Bibliographic record
Abstract
Research on aerodynamic performance of high-speed trains in cutting with different slope angles would complement the operation safety management under strong winds. This study was conducted to investigate the flow structure around a train using computational fluid dynamics (CFD). The accuracy of the numerical method was validated, combined with a wind tunnel test. This work shows that the surroundings of cutting along the railway line have great effect on the crosswind stability of the train. With the increase of slope angle, the coefficients of aerodynamic forces tend to reduce. Comparing the angle 0° with 90°, the Cs, Cl and Cm of head car fall by 96.7%, 108%, and 96.8% to the maximum respectively, while those of middle car by 108%, 98.8%, and 105%. For the shield of applicable cutting, the whole body is in a minor positive pressure environment. Thus, an appropriate slope angle for the cutting can largely improve its windbreak performance.
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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 | 0.000 |
| 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 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".