Modeling asymmetric hysteretic properties of an MR fluids damper
Bibliographic record
Abstract
A generalized model is synthesized to characterize the asymmetric hysteretic force-velocity properties of a magneto-rheological (MR) fluid damper as a function of the command current, excitation frequency and displacement amplitude, on the basis of symmetric and asymmetric sigmoid functions. The synthesis incorporates the peak force, peak velocity, transition velocity leading to force-limiting and the corresponding force, low and high velocity rise, and the hysteresis, in compression as well as rebound under different levels of command current. The model parameters are identified using the measured and modified data for a MR-damper. The validity of the model is examined by comparing the model results with the measured data for both dampers over a broad range of excitation conditions, and applied current in case of the MR damper. It is concluded that the proposed model could be effectively applied to characterize the hysteretic nonlinear properties of a controllable MR damper for development of an optimal controller in vehicle suspension system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".