Analytical and Experimental Study of the Response of a Suspension System with a Magnetorheological Damper
Bibliographic record
Abstract
A single-degree-of-freedom suspension system with a magnetorheological (MR) damper is studied. A Bouc-Wen hysteretic model is adopted to represent the nonlinear hysteretic damping force of an MR damper. The model parameter identification process is carried out based on the experimental data. The equivalent linearization and the averaging methods are employed to simplify the hysteretic nonlinear model of the system, and to obtain the system response under sinusoidal base excitation. The results obtained by these two approximate methods are compared with the results obtained from the experiments and the numerical simulation method when a swept sine excitation with amplitudes of 0.5 and 0.75 mm is applied to the system. The comparison shows that the results obtained by the equivalent linearization method and the averaging method are very similar and have a good agreement with both the experimental and the numerical results. Moreover, the effects of the hysteretic model parameters are investigated after the system dynamical equations are nondimensionalized.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".