A Generalized Model of a Class of Interconnected Hydro-Pneumatic Suspensions and Analysis of Pitch Properties
Bibliographic record
Abstract
The static and dynamic properties of pitch-interconnected hydro-pneumatic vehicle suspensions are derived using a generalized analytical model. The suspensions incorporate two compact struts with integrated gas chambers and damping valves within each unit. The struts provide superior flexibility in realizing fluidic couplings, while offering large effective working area. The proposed suspension configurations consist of hydraulic, pneumatic or hybrid fluidic couplings between the front and rear suspension struts. The coupling effects due to different interconnected suspensions are established through the mathematical formulations. A generalized model of the hydro-pneumatic suspensions is developed that could be applied for either the roll or pitch plane of the vehicle, permitting analyses of suspension forces in a very simple manner. The 7-DOF pitch plane model of a heavy vehicle is analyzed to derive the relative vertical and pitch properties of different suspension configurations, in terms of suspension rates, pitch stiffness, bounce and pitch mode damping properties. The results suggest that the use of fluidic interconnections could yield considerable design flexibility and reduced coupling between the bounce and pitch stiffness properties, while the hydraulic and hybrid fluidic couplings offer added flexibility in tuning the bounce and pitch damping characteristics. The influence of load distribution on the bounce and pitch stiffness properties is also explored.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".