Aerodynamic Characteristics Analysis of Curve Overtaking Based on CFD
Bibliographic record
Abstract
In this paper, numerical simulation of the overtaking process in a curve is carried out based on Computational Fluid Dynamics (CFD) and dynamic mesh technology, and the flow field distribution data between the main overtaking vehicle and the overtaken vehicle at different speeds are statistically analyzed. The study shows that: during the overtaking process in a bend, pressure and flow field changes of different degrees occurred between the two vehicles. As the relative position between the vehicles changes, the higher the speed of the main overtaking vehicle, the more drastic the aerodynamic force changes between the two vehicles; the fluctuation range of the change curve of the lateral force coefficient of the overtaken vehicle is larger, and the lateral force also appears to have a larger extreme value. The overtaking vehicle caused a forward shift of the overtaken vehicle's centre of pressure in relation to its centre of mass. This induced an increase in lateral force and swinging moment, rendering the vehicle more unstable and prone to rollover and skidding, severely compromising driving stability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".