An interconnected suspension with adjustable roll and pitch stiffness (IS-ARPS) to enhance anti-roll and anti-dive/squat characteristics
Bibliographic record
Abstract
The suspension system is critical in maintaining vehicle stability in roll and pitch directions. Hydro-pneumatic interconnected suspension systems, in which the suspension struts are connected through hydraulic hoses, flow control valves, and accumulators, have great potential to further enhance anti-roll and anti-pitch characteristics. To address the existing designs’ shortcomings, this study introduces an interconnected suspension with adjustable roll and pitch stiffness (IS-ARPS). It not only eliminates the conventional anti-roll bars but also enables adjustment of roll stiffness depending on the driving and vehicle load conditions. In the pitch direction, the IS-ARPS provides an additional amount of pitch stiffness to reduce the dive/squat during braking/acceleration. The mathematical modeling of the IS-ARPS is also straightforward, requiring less computational cost and making it more practical for real-time implementations. Overall, the IS-ARPS system represents a significant advancement in the design of roll and pitch coupled interconnected suspensions, offering a more practical and versatile solution. The above features are examined through co-simulation between MATLAB/Simulink and ADAMS/Car.
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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 | 0.000 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".