Analysis of Destabilizing Moments Due to Dynamic Fluid Slosh Within a Partly-Filled Vehicular Tank Under Braking and Turning Accelerations
Bibliographic record
Abstract
A general three-dimensional nonlinear model is formulated to study the liquid slosh inside a partly filled cylindrical tank with and without baffles, while subjected to lateral and longitudinal acceleration fields arising from braking and turning maneuvers of a tank vehicle. The analyses are performed to investigate the significance of resulting destabilizing forces and moments caused by transient fluid slosh using the FLUENT software. The analyses are performed under varying magnitudes of maneuver-induced planar braking-in-a-turn accelerations and different fill volumes. The influence of baffles is further investigated under time varying longitudinal and lateral accelerations. The deviations in transient lateral and longitudinal forces, as well as the roll, pitch and yaw moments imposed on the tank structure, are obtained with respect to the corresponding quasi-static solutions. The results show that the magnitudes of transient forces and moments are significantly larger than those obtained from steady-state or kineto-static solutions. The addition of baffles tends to limit the magnitudes of slosh forces not only in the longitudinal direction but also along the lateral axis.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".