Sensitivity analysis of truck tyre hydroplaning speed using FEA-SPH model
Why this work is in the frame
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Bibliographic record
Abstract
The hydroplaning phenomenon is a complex multi-physics problem that may affect any vehicle under wet road conditions. It is crucial to understand hydroplaning phenomenon to improve passenger safety on highways. This paper focuses on studying the hydroplaning of different truck tyres. The study includes the effect of inflation pressure, load, tread depth and water film thickness on hydroplaning speed. The tyres used in this study are the Goodyear's off-road RHD 315/80R22.5 tyre and the UOIT FEA Michelin XOne line energy T 445/50R22.5 tyre. The analysis is performed using an FEA code named Pam-Crash from ESI Group. Water is modelled using Murnaghan equation of state and smooth particle hydrodynamics (SPH) method. The simulation results are validated against Horne's equation for truck tyres. An empirical equation is developed to include various tyre parameters.
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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 it