Effects of locking differentials on the snaking behaviour of articulated steer 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
The important effects of locking differentials for alleviating and removing the oscillatory instability or snaking behaviour of an articulated steer vehicle are introduced. First, a linearised model is developed to identify the most important parameters and critical driving conditions with regard to the snaking mode. Then, by using the results, the linearised model is analysed to reveal the effects of locking the differentials on the snaking mode. Based on this analysis, locking the differentials introduces a type of damping to the system that can be used to stabilise the vehicle during the snaking mode. Moreover, the numerical results from analysing the linearised model are consistent with those from the simulation of the dynamic behaviour of the vehicle in ADAMS. This verifies the simplifying assumptions for developing the linearised model.
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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