Analysis of the overturning moment caused by transient liquid slosh inside a partly filled moving tank
Bibliographic record
Abstract
A non-linear fluid slosh analysis of a partially filled circular tank is performed to illustrate the significance of transient fluid motion on the resulting destabilizing forces and moments imposed on the tank structure and thus the vehicle. The analyses are performed on a clean bore tank of circular cross-section for various fill volumes and subject to different magnitudes of steady as well as harmonic lateral acceleration using the FLUENT software. The results of the study are presented in terms of transient forces and moments caused by the cargo slosh, which directly relate to the roll dynamic performance of the partly filled tank trucks. A relationship between the lateral force and the resulting roll moment is derived, which suggests that the roll moment could be defined as a function of the horizontal force and tank radius, irrespective of the translation of the centre-of-mass coordinates. The deviations of the forces and overturning moment from those predicted using quasi-static (QS) load shift analysis are also presented and discussed. The influence of fluid viscosity on the transient behaviour is further investigated under time-varying lateral acceleration in terms of slosh damping rate and peak responses. The results of the study suggest that the magnitude of transient roll moment could be 1.57 times larger than corresponding mean values that are very close to those predicted using the QS analysis. Analysis of the partly filled tank under harmonic lateral acceleration excitations shows that the peak values of the lateral slosh force and the overturning moment occur during the first oscillation. The magnitude of the peak overturning moment is strongly dependent upon the frequency of the lateral acceleration excitation.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".