High Frequency Tire Vibration for SEA Model Partitioning
Bibliographic record
Abstract
<div class="htmlview paragraph">In the scope of an SEA project for high frequency tire NVH prediction, use is made of the spatial distribution of “modal power” on the entire surface of a tire, at both the modeling and validation stages. This paper focuses on the model development stage and how the modal power is used to determine the size of the SEA subsystems. Two key results are that, because of large damping, the spatial decay of vibration energy is too great and would require a large number of SEA subsystems. This is a confirmation on the limits of SEA in highly damped systems. It is also found that, in the frequency range where SEA would be useful, the tire's vibration response is concentrated around ⅓ of the tire closer to the excitation location. Experimental results are used to draw more insight into high frequency tire NVH behavior. The paper covers theoretical concepts, measurement setup, data processing, and concludes with useful results.</div>
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".