Performance Analysis of Suspension Seats under High Magnitude Vibration Excitations: II. Design Parameter Study
Bibliographic record
Abstract
The influences of suspension design parameters on the performance of three different suspension seats under high magnitude excitations were investigated using the generalized analytical model developed and validated in the first part of this work. The model was initially applied to study the influences of variations in the seated mass and suspension ride height on the response characteristics. Additional laboratory experiments were conducted and the measured data were used to demonstrate the validity of the generalized model under such variations in operating conditions for all three-suspension seats. The influences of variations in design parameters that could affect the performance under high magnitude excitations, namely suspension damping properties (low-velocity compression mode damping, damping asymmetry and high velocity damping) and properties of the elastic end-stops, on the performance measures are presented. Such influences are assessed in terms of seat effective amplitude transmissibility ( SEAT), vibration dose value ( VDV) ratio, peak accelerationof the seated mass and the peak force developed by the elastic end-stops. The results of the study suggest that suspension dampers with medium to high compression damping, higher rebound damping and higher high-speed damping would be desirable to realize enhanced performance under high magnitude excitations. Elastic end-stops with low stiffness are desirable to reduce the severity of the end-stop impacts.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".