Optimal Vibration Control of Flexible Structures Using Multiple Tuned Mass Dampers
Bibliographic record
Abstract
The structural vibration suppression of beam-type structures using Tuned Mass Damper (TMD) and Multiple Tuned Mass Dampers (MTMD) technologies will be investigated in this study. A vibration suppression strategy for beam-type structures based on TMD and MTMD technologies, in which a light beam with attached masses (secondary structure) is connected to the primary structure (beam), will be presented. The beam is modeled by utilizing the Timoshenko beam theory, and then the governing differential equations of motion have been cast into the finite element form by using the Galerkin method. The derived finite element formulation of beam-type structures with the attached TMD and MTMD systems has been combined with a designed optimization procedure to find the optimum design variables in the developed TMD and MTMD systems to suppress the vibration effectively. The effectiveness of the developed methodologies is verified through an experimental study, where the structural responses for the uncontrolled structure and that with the attached optimal TMD and MTMD systems were compared.
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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 | 0.000 |
| 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 | 0.000 | 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".