Results from a Full-Scale Study on the Condition Assessment of Pendulum Tuned Mass Dampers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Pendulum tuned mass dampers (PTMDs) are one of the most popular vibration control devices in use today for flexible towers, bridges, and buildings. Their most attractive feature is the design simplicity; the natural period can be controlled simply by adjusting the suspended length and viscous dampers can be easily integrated into the design. While this simplicity has resulted in their widespread adoption, the installed performance of PTMDs has not been investigated in much detail. This paper presents a methodology for conducting condition assessment of in-service PTMDs. Results from a full-scale study of a PTMD-equipped structure is used as a test bed to demonstrate the approach. The condition of an in-service PTMD is assessed using two criteria: the frequency and damping tuning ratios, and equivalent damping provided by the PTMD. These criteria are estimated while the PTMD is in service, without arresting the PTMD motion, using an extended Kalman filter. Practical considerations typical in full-scale structures arising from model reduction, measurements at limited degrees of freedom, and limited modes of interest are addressed in this assessment framework.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it