Experimental investigation of dynamic vibration absorption to design an improved particle damper
Bibliographic record
Abstract
We introduce a tuned particle damper (TPD) to improve the damping performance of the traditional particle damper by adding a dynamic vibration absorption structure. To better design a TPD as a dynamic vibration absorber (DVA), we changed the dynamics of a DVA system based on a primary cantilever system by introducing stainless steel balls and a carbon steel mass block. Using a series of sine-sweep tests on the primary cantilever system attached with a spring-mass system, we obtained frequency response function (FRF) curves under different conditions. Our experimental results show that the dynamic behavior of the primary cantilever system was more prominent on the resonance peak closer to the mass control area, whereas the dynamic behavior of the additional spring-mass system is more prominent on the resonance peak closer to the stiffness control area. Based on these results, we analyzed the abnormal but desirable dynamic characteristics of TPD presented in the discrete mass experiment, and the results indicates preliminary success with our design of a TPD.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".