Development of FEA tyre/soil interaction model using SPH and hybrid SPH/FEA technique
Bibliographic record
Abstract
One of the most accurate methods for simulating numerous nonlinear systems is finite element analysis (FEA). However, when it comes to modelling non-meshed particles, smoothed particle hydrodynamics (SPH) is used to obtain more reliable results. The modelled FEA truck tyre is similar to a wide base truck tyre having specifications of 445/50R22.5. The tyre is previously validated through different simulations such as contact foot print, static deflection, dynamic first mode of vibration, and various rolling resistance tests. These simulations are performed under different inflation pressures, vertical loads, and speeds. In this research, the tyre is validated on soft soil, while considering various combinations of parameters. These parameters affect soil characteristics to reach an optimum and calibrated soil model corresponding to the existing empirical data for dry sand. This research will be heading toward developing an off-road rigid ring model in future projects.
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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 | 0.001 |
| 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".