On the methodology for evaluation of dynamic effects of a surface bonded piezoelectric patch for active vibration control
Bibliographic record
Abstract
The current work presents a semi-analytic approach for calculating the influence of surface bonded piezoelectric (PZT) actuators on the free vibration of a flexible beam. A transfer matrix technique, originally developed for analyses of non-proportionally damped flexible beams, was modified to incorporate the PZT actuators' effect. Specifically, the technique's recursive calculations were significantly altered to account for the PZT actuators' tendency to couple the dynamics of node points of the flexible beam. Unlike many analyses of PZT laminated beams, the technique requires no assumptions of the revised modes' shapes, and the limits imposed by saturation voltages were incorporated. The methodology was applied to a vibration suppression application. A simple case of a single PZT patch employing angular velocity feedback was used to demonstrate and validate the calculation methodology. The sensitivities of the beam modes of vibration to the location and control gain of the PZT patch were summarized. The implementation for cases of linear velocity feedback and cases of multiple PZT patches employing mixed feedback laws were also outlined. The calculation methodology is very flexible and is of great utility in the optimization based design of smart structures
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".