Bibliographic record
Abstract
<div class="htmlview paragraph">It is a challenge to design vehicle for good ride characteristics to the engineer, given the many design constraints. The vibration environment is a very important criterion by which people judge the design and construction “ride quality” of a car. It needs a quarter - vehicle mathematical model to describe the dynamic motions of a vehicle on the road.</div> <div class="htmlview paragraph">In this paper, LaGrange Equation is used to derive the equations of motion. A state - space formulation is obtained by using state variables. And the characteristic equation, natural frequency and damping ratio are achieved. Through the analytical and numerical study on the ride quality of a quarter - vehicle (2 - DOF, 0 - dimension) model, the dynamic behavior of vehicle is represented by simulating the input, which is single-input-single-output (SISO) - output relationship. [<span class="xref">1</span>]<span class="xref">*</span> The effects of mass ratio, stiffness ratio and damping coefficient ratio on the vibration of the sprung mass are researched.</div>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".