Nonlinear ride analysis of heavy vehicle using local equivalent linearization technique
Why this work is in the frame
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Bibliographic record
Abstract
A multi–degree–of–freedom ride model of a typical tractor–semitrailer configuration comprising of nonlinear suspension damping mechanisms is developed. A local equivalent linearisation technique based on energy balance is employed to obtain the ride response of the nonlinear vehicle model. The critical behaviour of vehicle suspension(s) lock–up due to high magnitude of Coulomb (dry) friction is modelled and incorporated in the analytical technique such that the nonlinear behaviour of the system can be effectively simulated by the equivalent linear system. The effectiveness of local equivalent linearisation technique is demonstrated by comparing it with respect to conventional numerical integration and statistical linearisation techniques. A comprehensive parametric study is performed to investigate the influence of vehicle suspension characteristics, vehicle geometry, speed, highway profile and trailer loading patterns.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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