Numerical Study on Vibration Characteristics of Non-pneumatic Tire Coupled with Quarter-Car Model
Bibliographic record
Abstract
Abstract Non-Pneumatic Tires are primarily recognized for their puncture-free attributes, particularly suitable for specialized vehicles. However, not only the advantages, but also vehicle characteristics such as noise, vibration, and harshness need to be considered in case of application to standard passenger cars. To address this, estimating the vibration characteristics of NPT, considering the nonlinear behavior of the tire and its interaction with other car components, is important for vehicle development and chassis control. In this study, tire finite element analysis combined with the multibody simulation of a quarter-car model is employed. The vibration characteristics of a passenger car equipped with NPT are investigated on a specific tire construction and a car model in comparison to a pneumatic tire. It was found that the NPT exhibits high-frequency characteristic vibrations, although the overall trend is qualitatively similar to that of the pneumatic tire when the vertical stiffness and the contact properties are set to be close to those of the pneumatic tire.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".