Analysis of coupled suspension lateral dynamics characteristics based on suspension moment centre and non-steady tyre model
Bibliographic record
Abstract
This paper presents an analytical approach for developing a coupled suspension lateral dynamics model to investigate lateral vibration characteristics. The concept of the suspension moment centre was introduced. The direction of the constraint reaction force from the independent suspension control arm is perpendicular to the tyre contact speed. This arrangement leads to a larger lateral movement of the suspension hub as the height of the moment centre increases. According to the coupled suspension lateral dynamics model, experimental results were used to validate the relationship between wheel camber, lateral displacement of wheel centre and wheel travel. The non-steady state lateral suspension force was calculated based on the tyre slip ratio, defined as the lateral speed relative to the rolling speed, and the system dynamics characteristics was analysed. The results show that under excitation from an uneven road surface, the root mean square value of the suspension lateral force initially increases and then decreases as vehicle speed increases. Additionally, the root mean square value of the suspension lateral force increases with the increase in tyre relaxation length.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".