Dynamic Analysis and Simulation of Vehicles Carrying Liquids During Braking
Bibliographic record
Abstract
This paper presents two dynamic models of vehicles carrying liquids, namely single tractor and tractor-semitrailer. Both models incorporate suspension system and tire dynamics. Vehicles carrying fluids feature two subsystems: vehicle body and fluid subsystems. These two subsystems are coupled and to simplify the complicated solution, the coupled equations are solved separately using two different codes. Different braking moments are applied to the models and their dynamic behaviors are determined. It is shown that tractor-semitrailers need more braking moment than single tractor ones. As well, it turns out vehicles carrying fluids need a greater amount of moment in comparison to vehicles carrying solids to come to a complete standstill. Lastly, as the level of fluid inside the tanker increases (33% to 66%), the sloshing forces to the tanker’s walls increase. Therefore, it is revealed that tankers should be specially designed to address the characteristics and volume of fluid inside the tanker.
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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) | 0.000 | 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 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".