Development and Integration of a Soil-Tire Model for LAV-Terrain Systems
Bibliographic record
Abstract
<title>ABSTRACT</title> <p>This paper presents a novel approach for modeling LAV-terrain systems in a dynamic simulation environment, which is based on results from the research and development of advanced technologies by the Computer Modeling and Simulation team of General Dynamics Land Systems-Canada (GDLS-C). The presented soil-tire model has been developed based upon the application of terra-mechanics and is being uniquely integrated with a full 8x8 LAV model in ADAMS/View, with incorporation of large tire deflections and multi-passing effect. It is shown that the highly efficient soil-tire model is capable of dynamically predicting soil sinkage, tire deflection, wheel slip, rolling resistance, drawbar pull and actual torque created at each soil-tire interface, as required by the mobility analysis of LAV systems over soft terrains.</p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".