FIELD TESTING AND VALIDATION OF DIRECTIONAL DYNAMICS MODEL OF A TANK TRUCK
Bibliographic record
Abstract
A two–axle vehicle, equipped with a semi–transparent cylindrical tank, is fabricated and instrumented to determine the dynamics of sloshing cargo and its effects on directional response of the vehicle. The directional dynamics of a partially filled tank truck is investigated via computer simulation of a three–dimensional vehicle model incorporating a quasi–dynamic roll plane model of the tank. Field tests are performed for typical lane change and turning manoeuvres, and the corresponding directional response data are compared to the computer simulation results to validate the analytical model. The study concludes that the results obtained from the analytical vehicle model, incorporating quasi–dynamic fluid analysis, correlate well with the field measured data for different fill levels, vehicle speeds, and directional manoeuvres. Motion of the fluid–free surface and the corresponding lateral load transfer, attained via computer simulation, are further compared to those established from the field measured data to conclude that a quasi–dynamic analytical model can accurately predict the fluid slosh loads.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".