Spindle Vertical Acceleration Control in Fixed-Reacted Road Test Simulations
Bibliographic record
Abstract
<div class="section abstract"><div class="htmlview paragraph">In inertially-reacted road test simulations, spindle accelerations that are acquired in the field can be replicated precisely and their replication improves the accuracy of the simulations versus simulations in which spindle accelerations are not replicated. In fixed-reacted road test simulations, on the other hand, spindle accelerations are often not replicated due to the belief that doing so will introduce unrealistic loads into the test specimen. Although this is true with regards to the lower frequency range of the control band, it is shown in this paper that replicating spindle accelerations in the upper frequency range of the control band can improve the accuracy of fixed-reacted road test simulations. In order to analyze the effects of spindle vertical acceleration control on suspension loads, models were created for a half vehicle on the road and on a fixed-reacted road test simulator. Differences in spindle loads and in sprung and unsprung mass motions between the two models are discussed. Theoretical and experimental analyses presented in this paper point to the detrimental effects of replicating spindle accelerations at lower frequencies and the beneficial effects of replicating spindle accelerations at higher frequencies.</div></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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".