DYNAMIC ANALYSIS OF TRACKED VEHICLES WITH TRAILING ARM SUSPENSION AND ASSESSMENT OF RIDE VIBRATIONS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Tracked vehicles, such as earthmoving and military vehicles, designed for mobility over rough terrains impose a severe ride environment. Prolonged exposure to such low frequency and large amplitude vibration can lead to driver discomfort, physiological damage, inefficient performance and thus reduced mobility performance. Ride characteristics of a military tracked vehicle are analysed via suspension, track tension, and track–terrain interactions. Ride response characteristics of nonlinear vehicle model are evaluated for stochastic excitations, arising from random terrains such as Belgian pave, ploughed field, pasture and MVEE course. Ride quality of the tracked vehicle is assessed in terms of average absorbed power associated with vertical and horizontal ride vibrations transmitted to the driver.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it