Development and validation of a Regional Haul Steer (RHS) truck tiremodel using advanced computational techniques
Bibliographic record
Abstract
Abstract: Proper tire modeling is essential for a good vehicle design, as tires play an important role in vehicle dynamics and road safety, and are the vehicle’s main point of contact with the road. There are studies based on a variety of tire models for different applications, but there is a lack of research related to Regional Haul Steer (RHS) truck tires. A finite element model of a 315/80R22.5 Goodyear RHS II tire was created, and the model was validated using static (vertical stiffness and footprint) and dynamic (drum cleat and cornering stiffness) tests. It was observed that the increase of inflation pressure resulted in a decreased tire contact area, while various other parameters showed an increase, such as the vertical stiffness and the first horizontal and vertical vibration modes. The values obtained from the aforementioned simulation test results were compared with the literature and experimental data to validate the RHS tire model for use in future research. The values obtained from the tests were in good agreement with the experimental data provided. Future work includes the determination of cornering characteristics and rolling resistance over hard surfaces and various terrains, and the training of a genetic algorithm model for use in full vehicle simulations.
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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".