Dynamic rollover threshold of articulated freight vehicles
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Different measures of relative roll instability of heavy vehicles are investigated to determine their dynamic rollover characteristics. Analytical models of different vehicle combinations are presented and a concept of effective lateral acceleration is proposed to characterize the relative roll instability under dynamic directional manoeuvres. The analytical models for a five–axle tractor semi–trailer combination and an eight–axle A–train double are analysed to establish the dynamic rollover threshold based upon relative roll instability criterion and effective lateral acceleration. The dynamic rollover threshold of the vehicle, derived for different suspension properties and operating conditions, is compared with the corresponding static rollover threshold of the vehicle. From the results of the study, it is established that dynamic rollover threshold based on effective lateral acceleration in most cases is either slightly lower or equal to the static rollover threshold acceleration. The difference between the dynamic and static rollover thresholds is less than 5% for the vehicle configurations and the steering manoeuvres considered in the study. The static rollover threshold may thus be conveniently employed to estimate the dynamic rollover propensity of heavy vehicles.
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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 | 0.001 | 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